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Location: Beijing WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. About WorldQuant BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global opportunities for individuals to participate remotely in this initiative, while they learn quant finance, AI and ML concepts. WorldQuant Brain provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. The Role: We are seeking an exceptionally talented engineer to join our user success team. The role has two aspects: Troubleshooting user issues: Help address queries raised by our users. These will involve a fairly complex set of aspects including data, tech and signals (alphas) Gather customer feedback and share with our Product, Sales and Marketing teams Backend engineering: Optimization, speed and software quality – including load sequencing Security and application access – including role management Storage and data versioning Web application server side What You’ll Bring: Excellent communication and problem-solving skills Experience with Python and SQL Experience with automated testing tools (e.g. Selenium/ Cypress/ Puppeteer) Familiarity with Unix Familiarity with the quant or finance industry is a plus What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities: Local engagement events – Employee clubs: ping-pong, badminton, tennis, xbox, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! Visit https://www.worldquant.com/brain/ for more information about WorldQuant BRAIN. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Budapest WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : We are seeking a diligent and driven security operations specialist with strong hands-on technical skills, proven problem solving ability and excellent communication skills. As an security operations specialist at WorldQuant you will work closely with our technologists, researchers and portfolio managers to ensure systems are following best practices, perform incident response, provide patch and vulnerability remediation guidance, and support the identity and authorization infrastructure of the firm. Responsibilities (including but limited to): Research CVEs and other threat intelligence to formulate and deploy a response Operate and manage WorldQuant’s secrets and authentication management tool instances Develop tooling for continuous audit, code analysis and other security analysis activities Monitor and operate detection tools and respond to identified security issues in the environment Provide operational support for Authentication, Identity and other security infrastructure. Operate and improve the firms security monitoring and detection and infrastructure Provide customers support for foundational components such as Kerberos, SSH, SSL and more. Requirements : Degree in a technical or quantitative discipline from a top tier University Solid understanding of UNIX security. Knowledge of industry standard tools beneficial - (eg gitlab, nix, redhat linux, claude, jira, etc) Scripting experience, preferably in python. Experience operating security infrastructure, developing integrations of security products. Ability to communicate and design solutions related to security from first principles. Experience with Linux, Kerberos, SSL, SSH and  Active Directory Experience with agentic development Strong verbal and written communication skills in English What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams Employee resources groups with strong diversity and inclusion culture #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Hanoi OR Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are seeking a driven Technical Project Manager with proven problem-solving ability and excellent communication skills. The Lead Technical Project Manager should have wide-ranging experience, rely on their own judgement and discretion to think "outside the box," and resolve a variety of highly complex issues in creative and effective ways. The responsibilities for this role will include: Work on complex issues where analysis of situations, data, dependencies, and stakeholder needs requires in-depth evaluation of variable factors. Exercise judgment in selecting methods, techniques, tools, AI/agent workflows, and evaluation criteria for obtaining results. Own multiple projects and/or multiple programs, using structured project management practices and approved AI/agent tools to improve clarity, efficiency, and follow-through. Network with key contacts outside own area of expertise to understand dependencies, risks, requirements, and implementation constraints. Set cadence, governance, execution standards, and source-of-truth expectations for projects/programs. Coach others, delegate appropriately, and help teams adopt reusable project management practices, templates, and approved AI-enabled workflows. Leverage approved AI/agent tools to enhance project efficiency, including synthesis, status reporting, risk identification, decision tracking, stakeholder communication, and executive-ready summaries. Develop systems, procedures, analytics, and AI-assisted workflows to help management operate more efficiently and effectively. Carry out project management activities, including project planning, resource planning, status reporting, risk and issue tracking, dependency management, and decision follow-up. Define, maintain, and continuously improve analytics for business stakeholders, including dashboards, reporting views, and source-of-truth checks where appropriate. Demonstrate an understanding of technology and technology projects, including how AI/agent capabilities can improve project execution, operational efficiency, and decision-making. What You’ll Bring: 5+ years of technical experience required. Prior experience within a business consulting or project management function is required. Ability to operate independently, be a team lead, supervising a small team of consultants or TPMs. Comfortable working with senior management; willing to offer suggestions and opinions. Proven experience with driving and leading high impact projects. Ability to interpret and translate business needs into actionable practices. Capable of building trust through demonstrated competence and results. Excellent problem-solving ability with strong attention to detail in a fast-paced environment. Motivated by the transformational effects of technology-at-scale. Excellent communication skills in both verbal and written form, strong command of the English language. AI literacy: comfortable leveraging AI-powered tools (e.g., LLMs, copilots, automation frameworks) to enhance productivity and streamline day-to-day workflows. What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Ramat Gan WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 5 years of writing production-quality code in C++ on Linux platform Good understanding of Python language with development experience Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Mumbai WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. THE ROLE: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new Alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. ITS IMPACT: As we pursue our goal of creating new Alphas, we need researchers who will lead us there. WorldQuant’s unique investment platform is a leader amongst its peers and the methodology we employ is cutting edge. We desire people who will help us in our relentless pursuit to succeed. WHAT YOU’LL BRING: Ph.D. or M.S. degree from a leading university in a quantitative or highly analytical field (e.g. – Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering) Ranked in the top 10% of bachelor’s degree class Demonstrated ability to program in Python and C/C++ on a Unix/Linux platform Excellent problem solving abilities and judgment with a strong attention to detail Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture Strong English language skills; ability to communicate complex concepts in simple terms Open for all department with GPA score above 8.5 is required By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: New York WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable. What You'll Bring Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Expertise in version control systems (Git), CI/CD practices, and agile methodologies. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Experience in the finance industry is a plus but not required. Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus. Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: Twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month, three personal days, and ten sick days. Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $175,000 – $250,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com , and we will address your concerns promptly. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Mumbai WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: WorldQuant is seeking a bright individual to join our Portfolio and Treasury Services team in Mumbai as an Analyst. The ideal candidate would be someone, who is self-driven and motivated and enjoys being immersed in the mechanics of the financial markets. The role will focus on the daily operations and related activities. The candidate will need to provide level 1 operational support to the front office teams, as well as portfolio managers. Level 1 support will include: Start-of-day checks in each region Managing exceptions and alerts triggered via standard operational workflows Resolving trading outages quickly and ensuring minimum system downtime from an operations perspective Escalating issues to team leads and engaging with stakeholders to refine the workflows Additionally, the individual will be responsible for reconciling WorldQuant’s activity globally and handle breaks with counterparties. The role will require flexibility to work in night shifts. What You’ll Bring: Degree in finance or other business-related discipline. Prior work experience of 1-3 years. Reasonable proficiency in SQL and UNIX will be desirable, but not mandatory. Exposure to asset classes like Equity, Futures, FX and Derivatives, although not mandatory, would be viewed favourably. Strong communication skills in both verbal and written form. Excellent problem-solving abilities with strong attention to detail. Mature, thoughtful, with ability to operate in a collaborative, team-oriented culture. Position based in Mumbai, India By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Singapore WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Monitor execution across equities, FX, Futures and other asset classes, trading in different regions. Provide first-line support for any issues arising from the automated execution flow. Conduct project work in areas including adding new liquidity to the execution platform and reducing the cost of implementing WorldQuant’s models. Analyze large datasets to guide further automation and refinement of execution desk processes. Interface directly with Portfolio Managers, Brokers, Senior Management, Compliance, Risk and many other teams. What You’ll Bring: Degree in a quantitative or technical discipline from a top tier institution 1+ years of work experience gained in a buy-side or sell-side institution in a Trading, DevOps or Analytics role supporting investment strategies Enthusiasm to learn more about financial markets and execution trading Experience with scripting languages (Python) and databases (SQL) a strong plus Experience with at least one mainstream asset class (equities, FX, fixed income, credit, derivatives) By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: New Delhi WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: This is a highly unique opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data across multiple global markets, while owning the full lifecycle of a signal, forming a hypothesis about what market behavior predicts, engineering it into a feature, validating it with data, and shipping it into a production research platform. This is a research-focused data science role with meaningful hands-on coding and implementing signals within our internal framework. Key responsibilities include: Research and engineer features from raw, high-frequency market data, translating market behavior hypotheses into quantitative signals. Implement signals within our internal simulation/backtesting framework, iterating between exploratory data analysis and framework-based implementation. Validate features through backtesting across historical data, checking behavior across different markets, regimes, and edge cases (e.g., market open/close, low-liquidity periods). Collaborate with research and engineering teams to align on implementation approaches, validation standards, and research decisions. Explore new and existing data sources to identify candidate signals worth developing further. Becoming a domain expert on different deep learning and machine learning applications for high frequency data, analyzing & understanding the underlying dynamics, market microstructure and behaviors within the data. Develop insights based on the data and collaborate with the research team to generate tradable Developing the utility tools that can further automate the software development, testing and deployment workflow. What You’ll Bring: Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field. Strong data science background, with experience turning noisy, real-world data into validated, well-behaved signals or models. Rigorous quantitative programming skills, with the discipline to write accurate, production-quality, and performance aware code, including low-latency implementations where needed. Prior experience with C++ is a plus. Working knowledge of financial markets and how trading/market data behaves, or strong aptitude to learn it quickly. Prior market microstructure knowledge and experience with dark pools, trading and exchange data is a plus. Practical experience with and theoretical understanding of deep neural networks and other machine learning techniques in high frequency domain is a plus. Comfortably making pragmatic modeling tradeoffs under ambiguity while clearly articulating the reasoning behind them with data. Exceptional analytical & problem-solving abilities, with a strong attention to detail. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Montevideo WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are seeking a Site Reliability Engineer to create scalable and highly reliable software systems for our production investment pipeline. Successful candidates display an aptitude for improving system availability, latency, performance, efficiency, and capacity measures while also participating in change management, monitoring, emergency response, and capacity planning processes. This role will collaborate closely with developers on designing scalable systems, improving release pro cesses, and reducing operational burden from development teams. Site reliability engineers at WorldQuant must be able to adapt to rapid changes in business and technological requirements as well as operate distributed systems in a performant manner. What you’ll do: Enhance platform reliability by monitoring performance and setting relevant metrics. Own and manage CI/CD procedures, promoting best DevOps practices through standardized release processes. Containerize and scale services to fit business needs. Monitor and manage hardware estate as well as file system. Apply industry standard security practices. Collaborate with engineering teams on both new systems design and existing system enhancements. Pioneer efforts in new open-source technologies while also leveraging mature solutions. Be an active member of an agile engineering team who is continuously looking to improve team performance. What You’ll Bring: Bachelor’s degree in Computer Science or related discipline or equivalent job experience. Passion toward software engineering and interest in running real-world applications at scale. Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture Excellent problem-solving abilities and judgment with strong attention to detail Experience in Linux administration; fluent in Linux standard command line programs Familiarity with technologies like Docker, Kubernetes, Helm, Grafana, Prometheus, Git. Working knowledge in various database and messaging technologies such as SQL, Redis, Kafka Understanding of Git and CI/CD concept Demonstrated experience using Python; understanding of Python idioms and limitations. Strong written and verbal communication skills; Fluency in the English language Candidates need not have prior experience in financial services. Notes on schedule: Please note that this role will periodically require coverage until 21:00 Uruguay time to bridge the gap with our Asia hours coverage. We also require light weekend coverage (rotated globally) during daytime hours. We offer flexible work from home hours. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. About WorldQuant BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant Brain provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. The Role: We are seeking an exceptionally talented engineer to join our user success team. The role has two aspects: Troubleshooting user issues: Help address queries raised by our users. These will involve a fairly complex set of aspects including data, tech and signals (alphas) Gather customer feedback and share with our Product, Sales and Marketing teams Backend engineering: Optimization, speed and software quality – including load sequencing Security and application access – including role management Storage and data versioning Web application server side What You’ll Bring: Excellent communication and problem-solving skills Experience with Python and SQL Experience with automated testing tools (e.g. Selenium/ Cypress/ Puppeteer) Familiarity with Unix Familiarity with the quant or finance industry is a plus What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-NV1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: New York WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Monitor execution across equities, FX, Futures and other asset classes, trading in different regions. Provide first-line support for any issues arising from the automated execution flow. Conduct project work in areas including adding new liquidity to the execution platform and reducing the cost of implementing WorldQuant’s models. Analyze large datasets to guide further automation and refinement of execution desk processes. Interface directly with Portfolio Managers, Brokers, Senior Management, Compliance, Risk and many other teams. What You’ll Bring: Degree in a quantitative or technical discipline from a top tier institution 1+ years of work experience gained in a buy-side or sell-side institution in a Trading, DevOps or Analytics role supporting investment strategies Enthusiasm to learn more about financial markets and execution trading Experience with scripting languages (Python) and databases (SQL) a strong plus Experience with at least one mainstream asset class (equities, FX, fixed income, credit, derivatives) Location: NYC Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month, three personal days, and ten sick days. Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. The estimated salary range for this position is $125,000 to $150,000 which is specific to New York and may change in the future. When finalizing an offer we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Hanoi OR Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are looking for a Quantitative Developer to join our team in Vietnam. This is an opportunity for a technically strong, early-career candidate to build the automation and tools that support critical business workflows. You will work alongside experienced engineers to solve technical problems, develop robust internal platforms, and improve the efficiency of complex systems. You will also gain hands-on exposure to production environments by helping monitor workflows, investigate issues, and support on-call activities What You'll Do: Monitor production systems, scheduled jobs, data processes, and automated workflows; identify and bring up issues appropriately Investigate technical issues across applications, data processes, and infrastructure; contribute well-tested fixes under guidance Design, build, and maintain internal tools, automation, interfaces, and services that improve business workflows Improve system reliability, observability, documentation, and team productivity Collaborate with engineers and stakeholders to understand requirements and translate them into practical technical solutions Contribute to code reviews, testing, release validation, and user documentation Assist the on-call team with incident triage, diagnostics, communication, validation, and follow-up activities Identify repetitive manual tasks and build automation to reduce operational overhead What You’ll Bring: Bachelor's/ Master's degree or equivalent experience in Computer Science, Engineering, or a related field Solid practical experience in Python and/or C++ Good knowledge of Bash scripting and Linux environments Familiarity with version control systems such as Git Interest in automation, production systems, operational tooling, and reliable software delivery Strong analytical and logical thinking, with a methodical approach to solving problems Meticulous, with a high standard for accuracy, quality, and reliability A self-starter who takes ownership of assigned work and knows when to seek guidance or escalate Comfortable handling multiple tasks and priorities in a fast-paced environment Able to learn quickly and adapt to unfamiliar technologies and complex systems Effective and concise communicator in English, both written and verbal Solid understanding of Claude or other LLM tools, and an understanding of how to apply them effectively across debugging, problem analysis, solution design, testing, and documentation Uses LLM tools with sound judgment and critical thinking — as a force multiplier for quality, speed, and clarity, not as a substitute for engineering discipline Brings a continuous-improvement approach and contributes to improving team processes, documentation, and automation What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-VP1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Old Greenwich OR New York WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are looking for a Junior Quant Developer to join the Platform & Operations team. This is an ideal opportunity for a technically strong, early-career candidate who enjoys solving real problems and wants to make a direct and tangible impact on the business. You will work alongside expert developers and portfolio managers, building systems, interfaces, and tools that support day-to-day portfolio management operations. We value clear thinking, strong fundamentals, and a proactive attitude over years of experience. Key Responsibilities Contribute to the design, development, and maintenance of systems, interfaces, and tools that support portfolio management workflows Collaborate with portfolio managers and developers to understand requirements and translate them into practical solutions Identify, investigate, and resolve issues in existing tools and infrastructure Monitor and support production systems, responding to incidents and ensuring reliability Contribute to code reviews, testing, and technical documentation Continuously improve team productivity by maximising modern development tools and practices What You’ll Bring: Technical Bachelor's or Master's degree in Computer Science, Engineering, or a related field Solid practical experience in Python and/or C++ Good working knowledge of Bash scripting and Linux environments Familiarity with version control systems such as Git Approach & Working Style Strong analytical and logical thinking — you approach problems methodically and do not give up easily Meticulous with a high standard for the quality of your own work Self-starter who takes ownership of problems and can work independently without constant direction Comfortable leading multiple tasks and making sound decisions in a fast-paced environment Ability to learn quickly and adapt to new technologies and complex systems Effective and concise communicator in English, both written and verbal Ways of Working Good working knowledge of Claude or other LLM ecosystems — understanding how to apply them effectively across the full development workflow, from problem analysis and debugging to solution design and documentation Uses LLM tools with good judgment and critical thinking — not blind code generation, but as a genuine force multiplier for quality, speed, and clarity Able to bring this attitude to the broader team and contribute to raising overall productivity What We Offer: Direct exposure to real portfolio management systems and workflows A collaborative team where your contributions are visible and valued Opportunity to grow quickly in a technically demanding and intellectually stimulating environment WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. The estimated salary range for this position is $125,000 to $175,000 which is specific to New York and may change in the future. When finalizing an offer we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: New York WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. WorldQuant  is seeking a Full Stack Developer to build and enhance internal analytical tools and dashboard applications supporting product, platform, and business workflows. This role combines business analysis, data analytics, and web development, with a focus on creating scalable, user-friendly internal applications. Key Responsibilities: Design, develop, and maintain internal analytical tools and dashboards for users and stakeholders. Build single-page applications (SPAs) using frameworks such as React and component libraries such as Tailwind, Material UI, or similar. Translate business requirements into technical solutions and intuitive workflows. Use SQL and/or Polars to support reporting, analysis, and application data needs. Support testing, deployment, and CI/CD processes for reliable delivery. Improve existing dashboards and tools for usability, performance, scalability, and maintainability. Partner with stakeholders to improve workflows, reporting, and operational visibility. Qualifications: 2–5+ years of experience in web development, analytics, or related technical roles. Experience with web development frameworks such as React, HTML, CSS and the JavaScript language. Expertise in constructing and processing complex SQL queries. Working knowledge of relational databases. (SQL Server, MySQL, PostgreSQL) Excellent debugging and problem solving skills. Clear communication and presentation skills. Proficiency in at least one general purpose programming language from Python, Java, and C++. Understanding of database design, index structures and stored procedures. Experience with building middleware services (REST/JSON), caching tools, data visualization, log collection and aggregation, search, queuing systems. A solid background in Unix/Linux environment and Shell scripting. Experience in DevOps: thorough knowledge in one webserver (Apache/NGINX/Tomcat), monitoring and load balancing tools. Experience with job schedulers (i.e. airflow, cron). Finance Experience is not required. Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $150,000 – $200,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com , and we will address your concerns promptly. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: New Delhi WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists on this team research, design, code, test, and deploy solutions that enable the firm’s front-office quant teams to make effective use of the our framework. Our environment is relaxed yet intellectually driven, and we seek people who think in code, enjoy solving complex engineering problems, and are motivated by working closely with like-minded researchers, engineers, and business stakeholders. This role sits at the intersection of platform engineering, solution delivery, and quant research enablement. The successful candidate will work collaboratively with researchers, embedded technology teams, and platform stakeholders to build scalable tools, APIs, services, and workflows that improve adoption and support the continued evolution of the firm’s ecosystem. We are looking for a hands-on technologist who enjoys building robust systems, working closely with users, and solving intellectually challenging problems. The ideal candidate is practical, curious, collaborative, and motivated by delivering tools and platforms that help researchers and investment professionals work more effectively. What You’ll Do Participate in the design, development, testing, deployment, and maintenance of solutions Build and maintain APIs, services, tools, and platform components that enable seamless integration with front-office quant workflows. Interface with users of the platform to understand their use cases and help them make effective use of available tools and services. Work closely with researchers and technology teams to translate business and research needs into practical engineering solutions. Contribute to scalable platform capabilities, including workflow tooling, metadata management, distributed storage, and integration services. Research best practices and propose feature specifications and enhancements for the platform roadmap. Develop and maintain tools that complement the core platform offering and improve usability, adoption, and operational efficiency. Ensure solutions are reliable, secure, scalable, and aligned with firmwide engineering standards. Produce clear documentation, user guides, and technical materials to support adoption and long-term maintainability. Collaborate with global teams in an open, intellectually curious, and delivery-focused environment. What You’ll Bring University degree, preferably in Computer Science, Engineering, Electrical Engineering, Mathematics, or a related technical field. At least 5 years of professional software engineering experience. Strong English communication skills and experience working in a global environment. Expertise in software lifecycle management methodologies and tools, including Git and JIRA. Strong programming expertise in at least one of the following: Python, Go, C, or C++. Strong working knowledge of UNIX/Linux. Experience designing, developing, testing, and supporting production-quality software systems. Ability to work directly with technical and non-technical users to understand requirements and deliver effective solutions. Knowledge of the design and development of large-scale distributed systems, distributed storage platforms, workflow platforms, or data-intensive systems. Experience building APIs, backend services, platform tooling, or developer enablement solutions. Familiarity with quant research workflows, investment technology platforms, data pipelines, or front-office systems. Exposure to CI/CD, observability, containerization, orchestration, or cloud-native development practices. Interest in open architecture, graph-based frameworks, metadata-driven systems, and extensible platform design. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Singapore WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Our distributed platform combines high-performance storage, compute, and service layers for processing and serving massive, structured, time-series datasets - built in C++ with a distributed system architecture, real-time streaming, RPC-based data transfer, and columnar on-disk storage that powers data processing and analytics workflows. Design, develop, and maintain core components across our distributed storage, compute, and service platforms - including storage engines, query and compute execution, RPC/networking layers, and distributed coordination (routing, partitioning, replication). Partner with internal stakeholders across research and engineering teams to translate data-access, compute, and performance requirements into concrete design and implementation work. Investigate and resolve production issues - from correctness bugs to performance regressions. Participate in code review, system design, feature development, and productionization. What You'll Bring: Degree in Computer Science or a related field. 2+ years of professional software engineering experience. Strong fundamentals in data structures, algorithms, and systems-level thinking (memory management, concurrency, I/O). Proficiency in modern C++ (C++11 or higher); comfort with STL. Solid working knowledge of UNIX/Linux development environments. Experience using AI-assisted coding tools (e.g., Claude Code, OpenCode) to accelerate development. A clear, proactive communicator who works well with a globally distributed team. Nice to Have: Python Exposure to distributed systems concepts (replication, sharding, consensus), query/compute engines, or columnar/analytical storage formats. Experience with RPC frameworks. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Bengaluru WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Location: Bangalore, India The Role: We are seeking an exceptionally talented Executive Assistant and Office Manager to join our team. The ideal candidate will have exceptional organizational and analytical skills, attention to detail and the ability to thrive in a fast-paced and dynamic environment. At WorldQuant, we believe in work/life balance, but we also have a 24/7 mentality, and the Executive Assistant/Office Manager must be able to handle multiple priorities, often with little notice. Job responsibilities include, but are not limited to the following: Executive Assistance: Manage complex calendar including scheduling, rescheduling and canceling meetings as needed across multiple time zones while maintaining meeting cadences. Coordinate and manage all aspects of travel arrangements, including domestic and international air travel, ground transportation, accommodations and visas. Communicate effectively and efficiently with other Executive Assistants ensuring all needs are met and schedules are aligned. Maintain confidentiality and discretion in all matters pertaining to the individual and the organization. Develop and maintain a strong understanding of the organization’s goals, priorities and key stakeholders to ensure effective communication and coordination. Create travel expense reports using Workday Expense Office Management: Lead office facilities and operations for the Bangalore office Assist Director of Facilities with improvement plans and projects Be responsible for the office snack and beverage program. Stock the kitchen breakroom daily. Liaison to the property manager and onsite contact for all vendors Provide first level technical support, organize, and inventory all IT equipment Coordinate desk set-ups for new hire and coordination of moves Organize team building activities for the local team What You’ll Bring: Bachelor’s degree required Minimum of 7 years’ experience providing executive-level support to a senior executive is required Experience in sophisticated calendar management across multiple time zones Strong organizational and planning skills, with the ability to manage tasks and priorities effectively Experience cultivating a positive office and employee experience Excellent written and verbal communication skills High level of proficiency in Microsoft Office and other relevant software Ability to maintain a high level of confidentiality and discretion Demonstrate a 24/7 mentality while maintaining a work/life balance Be a great teammate with a strong willingness to participate and help others By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.