Location: Medellín, Colombia
We are a leading B2B staffing platform, specializing in connecting talented architects and engineers with top-notch Australian architectural and engineering companies. Our platform is designed to empower remote work, allowing professionals from around the world to collaborate with global firms seamlessly. As we continue to expand our services and clientele, we are seeking a dedicated Customer Success Representative to manage U.S and Canadian accounts, ensure the satisfaction of our contractors, and drive the growth of our partnerships. Our team is empowered to constantly explore, innovate, and strive to think outside the box, providing personal and team growth.
Responsibilities:
As a Customer Success Representative, you will play a pivotal role in fostering strong relationships with our Australian clients while ensuring that our contractors thrive in their roles.
Your responsibilities will include:
Account Management: Oversee and nurture relationships with U.S and Canadian architectural and engineering companies. Understand their needs, challenges, and goals.
Contractor Satisfaction: Act as a point of contact for our contractors, addressing their concerns, ensuring their happiness, and serving as a bridge between them and the client firms.
Upselling and Growth: Identify opportunities to expand our services within existing client accounts. Collaborate with the sales team to upsell additional contractor resources.
Client Onboarding: Facilitate the onboarding process for new clients, ensuring a smooth transition and integration of our contractors into their teams.
Feedback Collection: Gather feedback from both clients and contractors, and communicate this feedback internally to help improve our platform and services.
Problem Resolution: Handle any issues or disputes promptly and professionally, finding effective solutions that benefit all parties.
Reporting: Maintain accurate records of client interactions and share insights with the management team to drive strategic decisions.
Requirements
Bachelor's Degree: A bachelor's degree in business, marketing, or a related field is preferred.
Customer-Centric Mindset: A genuine passion for delivering exceptional customer service and ensuring client satisfaction.
Communication Skills: Outstanding written and verbal communication skills, with the ability to build rapport and convey complex ideas effectively.
Problem-Solving Skills: Strong analytical and problem-solving abilities to address client and contractor concerns.
Sales Acumen: Basic understanding of sales principles and the ability to identify upselling opportunities.
Remote Work Proficiency: Must have a reliable laptop, high-speed internet connection, and a comfortable remote work setup.
Video Conferencing: Comfortable with videoconferencing tools for client and contractor interactions when necessary.
2+ Years of Experience: Previous experience in a customer success or account management role, preferably in a B2B environment, with at least 2 years of relevant experience.
Important to have:
Native English
Great Communication Skills
Enjoys talking with people;
Comfortable doing videoconference with clients
Motivated Self-starter
Ability to work unsupervised
Ability to multi-task
Shows Initiative, Proactive
Benefits
Work for the most exciting companies in the world.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
Location: Buenos Aires, Argentina
We are a leading B2B staffing platform, specializing in connecting talented architects and engineers with top-notch Australian architectural and engineering companies. Our platform is designed to empower remote work, allowing professionals from around the world to collaborate with global firms seamlessly. As we continue to expand our services and clientele, we are seeking a dedicated Customer Success Representative to manage U.S and Canadian accounts, ensure the satisfaction of our contractors, and drive the growth of our partnerships. Our team is empowered to constantly explore, innovate, and strive to think outside the box, providing personal and team growth.
Responsibilities:
As a Customer Success Representative, you will play a pivotal role in fostering strong relationships with our Australian clients while ensuring that our contractors thrive in their roles.
Your responsibilities will include:
Account Management: Oversee and nurture relationships with U.S and Canadian architectural and engineering companies. Understand their needs, challenges, and goals.
Contractor Satisfaction: Act as a point of contact for our contractors, addressing their concerns, ensuring their happiness, and serving as a bridge between them and the client firms.
Upselling and Growth: Identify opportunities to expand our services within existing client accounts. Collaborate with the sales team to upsell additional contractor resources.
Client Onboarding: Facilitate the onboarding process for new clients, ensuring a smooth transition and integration of our contractors into their teams.
Feedback Collection: Gather feedback from both clients and contractors, and communicate this feedback internally to help improve our platform and services.
Problem Resolution: Handle any issues or disputes promptly and professionally, finding effective solutions that benefit all parties.
Reporting: Maintain accurate records of client interactions and share insights with the management team to drive strategic decisions.
Requirements
Bachelor's Degree: A bachelor's degree in business, marketing, or a related field is preferred.
Customer-Centric Mindset: A genuine passion for delivering exceptional customer service and ensuring client satisfaction.
Communication Skills: Outstanding written and verbal communication skills, with the ability to build rapport and convey complex ideas effectively.
Problem-Solving Skills: Strong analytical and problem-solving abilities to address client and contractor concerns.
Sales Acumen: Basic understanding of sales principles and the ability to identify upselling opportunities.
Remote Work Proficiency: Must have a reliable laptop, high-speed internet connection, and a comfortable remote work setup.
Video Conferencing: Comfortable with videoconferencing tools for client and contractor interactions when necessary.
2+ Years of Experience: Previous experience in a customer success or account management role, preferably in a B2B environment, with at least 2 years of relevant experience.
Important to have:
Native English
Great Communication Skills
Enjoys talking with people;
Comfortable doing videoconference with clients
Motivated Self-starter
Ability to work unsupervised
Ability to multi-task
Shows Initiative, Proactive
Benefits
Work for the most exciting companies in the world.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
Location: Mexico City, Mexico
We are a leading B2B staffing platform, specializing in connecting talented architects and engineers with top-notch Australian architectural and engineering companies. Our platform is designed to empower remote work, allowing professionals from around the world to collaborate with Australian firms seamlessly. As we continue to expand our services and clientele, we are seeking a dedicated Customer Success Representative to manage U.S and Canadian accounts, ensure the satisfaction of our contractors, and drive the growth of our partnerships. Our team is empowered to constantly explore, innovate, and strive to think outside the box, providing personal and team growth.
Responsibilities:
As a Customer Success Representative, you will play a pivotal role in fostering strong relationships with our Australian clients while ensuring that our contractors thrive in their roles.
Your responsibilities will include:
Account Management: Oversee and nurture relationships with Australian architectural and engineering companies. Understand their needs, challenges, and goals.
Contractor Satisfaction: Act as a point of contact for our contractors, addressing their concerns, ensuring their happiness, and serving as a bridge between them and the client firms.
Upselling and Growth: Identify opportunities to expand our services within existing client accounts. Collaborate with the sales team to upsell additional contractor resources.
Client Onboarding: Facilitate the onboarding process for new clients, ensuring a smooth transition and integration of our contractors into their teams.
Feedback Collection: Gather feedback from both clients and contractors, and communicate this feedback internally to help improve our platform and services.
Problem Resolution: Handle any issues or disputes promptly and professionally, finding effective solutions that benefit all parties.
Reporting: Maintain accurate records of client interactions and share insights with the management team to drive strategic decisions.
Requirements
Bachelor's Degree: A bachelor's degree in business, marketing, or a related field is preferred.
Customer-Centric Mindset: A genuine passion for delivering exceptional customer service and ensuring client satisfaction.
Communication Skills: Outstanding written and verbal communication skills, with the ability to build rapport and convey complex ideas effectively.
Problem-Solving Skills: Strong analytical and problem-solving abilities to address client and contractor concerns.
Sales Acumen: Basic understanding of sales principles and the ability to identify upselling opportunities.
Remote Work Proficiency: Must have a reliable laptop, high-speed internet connection, and a comfortable remote work setup.
Video Conferencing: Comfortable with videoconferencing tools for client and contractor interactions when necessary.
2+ Years of Experience: Previous experience in a customer success or account management role, preferably in a B2B environment, with at least 2 years of relevant experience.
Important to have:
Native English
Great Communication Skills
Enjoys talking with people;
Comfortable doing videoconference with clients
Motivated Self-starter
Ability to work unsupervised
Ability to multi-task
Shows Initiative, Proactive
Benefits
Work for the most exciting companies in the world.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
Location: Zurich
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
Your core objective is to create high quality predictive signals.
By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
Share and discuss research results, methodology, data sets and processes with other researchers.
Implement the signals and the relevant datasets within the global execution platform.
Monitor signal behaviour and model performance over time.
You would lead the full strategy research cycle from signal generation to implementation.
Your present skillset
Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
Experience in exploring large datasets across multiple time frames is a plus.
Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
Capacity to work with autonomy within a collegial and collaborative environment.
Strong capacity to communicate with technologists, data scientists and traders across the globe.
Proven track record in delivering successful systematic strategies.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Office Based - Beijing, China; Office Based - Taipei, Taiwan
Are you fascinated by the chance to make a real impact on millions of Ubuntu users? We are looking for a passionate Linux kernel engineer to join our team and help us bring Ubuntu to the next generation of hardware. In this role, you will be responsible for developing and maintaining high-quality kernel support for a wide range of hardware devices. You will also work with upstream developers and driver vendors to integrate the latest hardware support into Ubuntu.
This role presents an exciting opportunity for an engineer to leverage their software engineering skills on cutting-edge hardware. We collaborate with world-leading OEM partners to deliver Ubuntu on their next generation of laptops, desktops, and workstations. You will tackle complex issues spanning a wide range of consumer components, from Wi-Fi and Thunderbolt docks to BIOS and UEFI. Additionally, you will face challenges in achieving optimal power efficiency and performance.
You will have the chance to explore the latest architecture and platform technologies from Intel, AMD and other silicon vendors, enabling them in Ubuntu and ultimately delivering them to the world. As part of this position, you will be expected to closely collaborate with upstream kernel maintainers and hardware vendors in analysing root causes, developing fixes, and submitting patches for review.
Location:
This is a role based in either our Taipei, Taiwan or Beijing, China offices.
What your day will look like
Collaborate regularly and proactively with a globally distributed team
Work closely with external silicon and hardware manufacturer delivery teams on bleeding edge Desktop, Laptop, and Server platforms
Diagnose and resolve issues in the kernel reported by QA, customers and the community
Enable new Linux kernel features as requested by customers
Submit, review, and apply kernel patches, working with both internal and external upstream maintainers
What we are looking for in you
Well-organised, self-starting and able to deliver to fixed schedules
Demonstrated ability to present oneself in a professional manner when interacting with colleagues, business partners, and the open source community
Ability to communicate effectively in English, both written and oral
Significant programming experience in C, with Python and Bash scripting also highly regarded
Solid background with git
Knowledge of the Linux kernel and kernel subsystems
Demonstrated experience with kernel patching and debugging
Knowledge/experience with Linux kernel upstream processes and release cycle
Strong grasp of device drivers, BSP’s, and other low level system engineering
Prior experience with Ubuntu/Debian/Snap packaging would be highly regarded
Knowledge of ACPI and UEFI is desirable
Willing to travel globally up to 4 times a year for internal and external engineering events.
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: Austin
Workplace: OnSite
We are looking for Quantitative Researchers to join our quant hub in Austin. You will have a chance to build alphas, and conduct research working with datasets covering different markets. The role demands sharp analytical skills, a relentless commitment to excellence, and a passion for uncovering hidden patterns in the data.
Our team values determination, precision, and the ability to think critically and creatively. While the work is demanding, the rewards are significant, both in the impact of your contributions and the growth you’ll achieve in this collaborative and high-performance environment. We rely on people’s autonomy and provide freedom to create the best algorithms in finance, while truly being attentive to a fundamentally important asset - communication.
Location
Austin, TX (5 days in-office requirement)
Key Responsibilities
- Build statistical and predictive models
- Manage all aspects of the research process, including methodology selection, data collection/normalization and analysis, prototyping, backtesting, and performance monitoring
- Apply rigorous modeling techniques to explore variety of datasets
- Build new and improve existing signals (long-term)
- Optimize quantitative code and numerical methods
- Adapt, fix, write tests, and in some cases re-implement strategies execution code
Basic Requirements
- Physics, Mathematics, Computer Science, Engineering or other technical degree
- Math skills: statistics, linear algebra, optimization etc
- Strong critical thinking skills with an analytical and creative approach to problem-solving
- Practical Knowledge of Python and Python libraries (NumPy, Pandas etc)
- Detail-oriented approach
- Written and Verbal English in full-working-proficiency level
Nice to have Requirements
- Phd / MSc degree in Physics, Mathematics, Computer Science, Engineering or similar area
- Practical knowledge of C++ or Java
- Competitive Programming Experience (participation in International STEM Olympiads is a huge plus)
What you’ll get
- On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from
- Build Strategies while becoming the best at what you do
- Professional guidance from experienced mentors
What makes you a match
- You LOVE solving technical and math problems!
- You love to code and play with data
- You are willing to explore new articles and implement suitable ideas
- Difficult problems make you excited
- You are not afraid of unknown and love to learn
- You have A LOT of passion and drive
Benefits
- Health insurance
- Flexible sick time policy
- Office Lunches
Location: Dubai
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
Your core objective is to create high quality predictive signals.
By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
Share and discuss research results, methodology, data sets and processes with other researchers.
Implement the signals and the relevant datasets within the global execution platform.
Monitor signal behaviour and model performance over time.
You would lead the full strategy research cycle from signal generation to implementation.
Your present skillset
Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
Experience in exploring large datasets across multiple time frames is a plus.
Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
Capacity to work with autonomy within a collegial and collaborative environment.
Strong capacity to communicate with technologists, data scientists and traders across the globe.
Proven track record in delivering successful systematic strategies.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Workplace: none
Are you an experienced offshore medic looking for exciting new opportunities in the oil and wind energy sectors? MHG is expanding its team and seeking dedicated professionals like you to join us in providing medical support in remote offshore environments.
Key Requirements:
Offshore Medic Certification:
You should hold a valid offshore medic certification.Certificates from recognized institutions such as the following are required:
BOSIET (Basic Offshore Safety Induction and Emergency Training)
HUET (Helicopter Underwater Escape Training)
Offshore Medic Training Certification
GWO - Full
ALS, ITLS
Medical Experience:
Proven experience as an offshore medic, preferably in the oil and gas or wind farm industry.
Emergency Response Skills:
Proficiency in emergency medical response, including advanced life support.
Excellent Communication:
Strong communication and interpersonal skills are essential for collaborating with remote teams and ensuring the safety and health of offshore personnel.
Adaptability:
Offshore environments can be challenging and dynamic; you must be adaptable and quick-thinking.
Responsibilities:
Provide medical care and first aid to offshore personnel.
Assess and manage medical emergencies and injuries.
Collaborate with onshore and offshore teams to ensure a safe working environment.
Maintain accurate medical records and reports.
Participate in safety drills and training programs.
What We Offer:
Competitive compensation package.
Opportunities for professional development and training.
The chance to work in a dynamic and challenging offshore environment.
Collaborative and supportive team atmosphere.
If you are a dedicated offshore medic looking for new challenges and opportunities, we invite you to join our team at MHG. Your expertise will play a crucial role in ensuring the health and safety of offshore workers on oil rigs and wind farms.
We look forward to welcoming you to our team and exploring the exciting opportunities ahead.
Best regards,
Maritime & Healthcare Group
Location: Remote
Data Scientist (Senior Staff, Staff, & Senior roles available)
About the company
In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered.
KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects.
Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations.
KoBold runs exploration programs in eight countries, all with the potential for another discovery.
KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi.
We are hiring a Data Scientists to help accelerate our mission.
About the position
In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals.
You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.
Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.
Responsibilities
The Data Scientist will:
Help develop KoBold’s proprietary software exploration tools.
Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.
Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
Present to and collaborate with our external partners and stakeholders.
Qualifications
A great Data Scientist candidate will have:
Technical skills, including extensive experience with:
Python’s data science packages and general software engineering practices.
Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
Cloud computing resources.
Building predictive models, applying them to different problems, and evaluating and interpreting the results.
Data from a variety of physical systems.
Geospatial analyses and visualizations.
Technical knowledge:
Broad skills in and knowledge of applied statistics and Bayesian inference
Substantial understanding of machine learning algorithms
Training and work experience:
An advanced degree in the physical sciences, engineering, computer science, or mathematics.
A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer.
Experience leading technical teams to apply novel scientific approaches to core business problems
Work practices and motivation:
Ability to take ownership and responsibility of large projects.
Ability to explain technical problems to and collaborate on solutions with domain experts.
Communicates well on a collaborative, cross-functional team.
Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
Ability to independently prioritize multiple tasks effectively.
Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.
Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world.
It is also helpful but not required to have experience with:
Creating machine learning models on geospatial data
Geostatistics
Image processing or computer vision
Distributed computing applications for machine learning and other computations
What to Expect
Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field.
KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.
The US base salary range for this full-time exempt position is $140,000 - $260,000 plus equity and benefits, including 401k match.
Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana.
Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.
Location: London
Your future role within QRT
Your core objective is to create high quality predictive signals.
By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
Share and discuss research results, methodology, data sets and processes with other researchers.
Implement the signals and the relevant datasets within the global execution platform.
Monitor signal behaviour and model performance over time.
You would lead the full strategy research cycle from signal generation to implementation.
Your present skillset
Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#).
Experience in exploring large datasets across multiple time frames is a plus.
Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
Capacity to work with autonomy within a collegial and collaborative environment.
Strong capacity to communicate with technologists, data scientists and traders across the globe.
Proven track record in delivering successful systematic strategies.
Location: Singapore/Hong Kong/Shanghai
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
Your core objective is to create high quality predictive signals
By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities
Share and discuss research results, methodology, data sets and processes with other researchers
Implement the signals and the relevant datasets within the global execution platform
Monitor signal behaviour and model performance over time
You would lead the full strategy research cycle from signal generation to implementation
Your present skillset
Direct experience as a quant researcher or trader, or in data science/machine learning space.
Students and fresh graduate applicants will be rejected, please apply our internship/graduate positions instead.
Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
Capacity to multi-task in a fast paced environment while keeping strong attention to detail
Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#)
Experience in exploring large datasets across multiple time frames is a plus
Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
Capacity to work with autonomy within a collegial and collaborative environment
Strong capacity to communicate with technologists, data scientists and traders across the globe
Proven track record in delivering successful systematic strategies
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Singapore/Hong Kong/Shanghai
УдалённоBuenos Aires, Argentina
УдалённоMexico City, Mexico
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Автоотклики