Вакансии

Location: Argentina Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it. Tell me about this role! As a Manager, SEO & Data Analytics , you will help shape how we define, measure, and report performance across a single enterprise SEO program. You will turn complex search, AI visibility, keyword, and reporting requirements into clear methodologies that client teams can use with confidence. This role sits at the intersection of SEO strategy, data analysis, and stakeholder reporting, helping ensure our measurement approach is consistent, actionable, and aligned to client business goals. What you do Define reporting requirements, measurement frameworks, and governance standards across SEO and AI Search workstreams for a single enterprise client. Build durable approaches for keyword coverage, AI visibility tracking, prompt categorization, reporting cadence, and KPI interpretation. Partner closely with SEO, data, and client delivery teams to turn ambiguous asks into structured requirements. Identify reporting risks or gaps and ensure insights are clear enough to support executive-level decision-making. Who you are Strong enterprise SEO, B2B SaaS, measurement, and reporting experience Comfortable working with imperfect or evolving data, with the ability to create structure, rigor, and consistency BigQuery and Adobe Analytics experience Strong data analysis skills with the ability to translate technical details into clear business implications Highly organized, detail-oriented, and confident working across SEO, analytics, and client stakeholders How you succeed You will live our culture code every day! Effective campaign creation and delivery metrics. Internal targets/metrics on technology adoption and process optimisation met. You will hit our quality assurance metrics on all campaigns you lead. Client satisfaction targets being met (internal & external). Learning certifications created and met across the practice. Actively managing workload of your delivery teams to maximize output. What's in it for you ✨ This is a full time role (en relación de dependencia) Hybrid salary (50% of your net salary in USD) 20 working days vacation plus all Argentina public holidays. Private healthcare (OSDE 360). Adaptive/hybrid working. Free breakfast and lunch when in office. Access to learning and development opportunities. Mobility programmes - work from another country for up to 30 days! #LI-CO1 What happens next? We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. A note on our offices: We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! For details regarding our data processing activities, please refer to our Candidate Privacy Notice Protect Yourself from Job Scams: We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to security@brainlabsdigital.com . We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.

Location: Paris 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: As part of the Data Search & Analytics team, you will support one of QRT's Options trading streams, working closely with quantitative researchers and traders to source, curate and deliver high-quality data that powers systematic options research and trading. In addition to the core responsibilities outlined above, you will: Source, evaluate and onboard datasets relevant to options and derivatives research. Partner closely with researchers and traders to understand data requirements and translate them into scalable data solutions. Build and maintain robust data pipelines, ensuring the quality, consistency and timeliness of options-related datasets. Develop a strong understanding of options market data and contribute to improving QRT's internal data platform and tooling. Proactively identify opportunities to enhance data coverage, quality and operational efficiency for the Options business. Your present skillset: 3+ years of experience as a Data Scientist, Data Engineer or in a similar data-focused role; experience supporting quantitative research or trading teams is advantageous. Experience working with financial market data; exposure to options, derivatives or volatility data is a strong advantage. Strong Python programming skills, with experience using data processing libraries such as Pandas and NumPy. Experience building data pipelines and working with large-scale structured and time-series datasets. Demonstrated interest in financial markets and the application of data to quantitative research and trading. Excellent communication and stakeholder management skills, with the ability to collaborate effectively with researchers, traders, engineers and external data vendors. Ability to thrive in a fast-paced, high-performance environment while managing multiple data initiatives simultaneously. 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: Mumbai 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. In this role, you will be involved managing data operations activities to onboard, maintain, and support new datasets within QRT. You will also be responsible for production monitoring and ensuring the smooth functioning of data pipelines and infrastructure systems. Your future role within QRT Own and automate data operations processes, including coordination with external vendors and internal data teams Enhance observability of data pipelines by creating and maintaining dashboards and implementing automated checks Monitor data pipelines and provide Level 1 production support Monitor framework and infrastructure systems to ensure operational stability Maintain and update operational runbooks and process documentation Your present skillset Bachelor’s or master's degree in engineering or a related field. 3+ years of Experience in data operations and production support Strong Python scripting skills Collaborative mindset with a positive and proactive attitude Strong problem-solving skills, communication abilities, and attention to detail 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: London 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. You will work within a data focused function supporting Quantitative Researchers, Traders and other stakeholders across the firm. The role focuses on designing and developing financial datasets that support systematic strategies and trading decisions, with particular emphasis on market data, pricing datasets and reference data. You will combine financial market knowledge with Python and data engineering skills to build and own the automated production pipelines that create and maintain these datasets. Your future role within QRT Collaborate with Quantitative Researchers and Traders to design financial datasets that support systematic strategies and trading decisions Develop Python code to extract, clean, normalise and aggregate data from a range of financial market data sources Design, build and maintain automated data pipelines covering sourcing, extraction, transformation, validation and delivery Develop and maintain pricing and reference datasets across financial instruments and markets Investigate and resolve data quality and production issues to improve the reliability and availability of datasets Evaluate and implement new approaches to data extraction, processing and onboarding Take ownership of production data workflows and evolve them as data requirements, systems and business priorities change Your present skillset 2 to 5 years of experience in a data focused role working with financial or market data Strong understanding of financial markets and instruments, including the behaviour and characteristics of pricing and reference datasets Advanced Python programming skills, including experience with data processing libraries such as Pandas or Polars Experience designing, building and maintaining automated production data pipelines Strong data analysis and problem solving skills, with the ability to investigate data quality issues and understand their underlying causes Experience working with market data platforms and APIs from providers such as Bloomberg or LSEG is beneficial, including products such as Datastream, DataScope Select, Real Time, BPIPE or Data License Postgraduate degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline Strong communication skills with the ability to collaborate effectively with Quantitative Researchers, Traders and other stakeholders Ability to operate effectively as priorities, systems, projects and business requirements evolve 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: New York 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 This team is integral to the firm’s success. We are seeking a technically skilled Data Support Engineer to support quantitative researchers and traders in navigating and using extensive datasets. You will support all data users, contribute to documentation, and ensure data quality. Provide first-line support to researchers and traders for data access ad usage. Collaborate with data engineers to resolve data issues. Onboard new hires and train them on using data tools and processes efficiently. Manage JIRA workflows, track support requests, and ensure timely resolution of data issues. Contribute to data documentation. Contribute to extending data coverage (live collection and backfills) Your present skillset A bachelor’s degree in Data Science, Computer Science, Finance, or a related field. Experience in data support, IT helpdesk, or technical support, ideally within finance. Strong command of Python and data libraries. Proficiency with data systems, pipelines, and APIs. Experience with JIRA or similar project management tools. Strong problem-solving skills, communication abilities, and attention to detail. Base salary range for this position is $150,000 to $180,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: New York 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. The successful candidate will join QRT’s established Data Centre Operations team. Working closely with Network Engineering and wider infrastructure teams, you will help deploy, maintain and support the physical technology infrastructure used across QRT’s global data centre locations. Your Future Role within QRT Support the physical installation, maintenance and decommissioning of servers, network switches and other data centre equipment. Rack, stack, cable and label equipment to a consistently high standard. Install and manage copper, fibre and power cabling, including patching between devices and patch panels. Carry out hardware break-fix activities, including replacing failed components, cables, optics, power supplies and other parts. Assist with new equipment deployments, upgrades, capacity expansions and site decommissions. Complete basic hardware checks and troubleshooting on servers, switches, power equipment and connectivity. Work from build documents, rack elevations, patching schedules and technical instructions. Support hardware deliveries, stock management, spare parts, equipment movements and site logistics. Work with colocation providers, vendors, remote hands and onsite engineers to complete planned and reactive work. Help maintain high standards of data centre cleanliness, cabling, labelling, security and general operational discipline. Support planned work and break-fix activities across QRT’s global data centre environment. Take part in out-of-hours and weekend work where required, including planned changes, deployments and urgent break-fix activities. Participate in an out-of-hours on-call rota once suitable training and experience have been completed. Your Present Skillset: Some experience working in a data centre, IT infrastructure, network operations, hardware support or similar technical environment. Hands-on experience installing or supporting servers, network devices, cabling or other IT hardware. Basic understanding of servers, network switches, fibre, copper cabling and power connections. A practical and methodical approach to physical work, troubleshooting and problem solving. Strong attention to detail, particularly around cabling, labelling, documentation and build quality. Comfortable following technical instructions, procedures and change plans. Able to work safely and carefully within live data centre environments. Good communication skills and willingness to work with internal teams, vendors and third-party engineers. Organised and comfortable managing tasks, equipment, stock and documentation. Willingness to learn new technologies and develop broader knowledge of data centre infrastructure. Comfortable working as part of a globally distributed team. Willingness to travel internationally when required. Flexibility to carry out evening, overnight and weekend work when needed. Willingness to participate in an out-of-hours on-call rota after completing the required training. Base salary range for this position is $150,000 to $180,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: Paris, 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. We operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration. We are looking for an experienced Senior Data Platform Engineer to join our DevOps team in Paris. This is a senior, hands-on role for an engineer who can challenge and reshape our existing infrastructure, set technical direction, and raise the bar across the team . This role is fully on-site , with a strong focus on ensuring the reliability and scalability of our production data infrastructure. Your future role within QRT: This role sits at the intersection of data engineering and infrastructure engineering, focused on architecting reliable, scalable, and high-performance data platforms. You will bring an independent and critical perspective, identifying weaknesses in the existing stack, challenging current design decisions, and helping drive the technical roadmap. Your responsibilities will include: Owning the architecture, reliability, and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.) Evaluating the existing infrastructure, identifying architectural gaps, and driving improvements Designing and operating database clusters on Kubernetes (via operators) at scale Setting standards and best practices for data pipelines (ingestion, transformation, replication) Driving and maturing Infrastructure-as-Code practices (Terraform, Helm) Operating and evolving storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS) Establishing standards for Docker images and CI/CD workflows for data services Defining and maintaining AWS IAM policies, permissions, and security best practices Leading complex troubleshooting across the stack (databases, OS, storage, networking) Defining and improving observability practices (metrics, alerting, capacity planning) Mentoring engineers and collaborating with engineering, data, and research teams to influence technical decisions Your present skillset: 8+ years in DevOps, Data Platform Engineering, or similar, with experience owning production infrastructure at scale Deep production experience with distributed data systems (e.g. ClickHouse, Trino, EMR), including performance tuning and architectural decision-making Expert-level Kubernetes experience (stateful workloads, Helm, operators), ideally at significant scale Extensive Infrastructure-as-Code experience (Terraform, Helm, etc.), including defining standards and reusable patterns Strong knowledge of the AWS data ecosystem (S3, EKS, EMR, MSK, RDS) Deep understanding of AWS IAM and security best practices Hands-on experience with Docker and CI/CD pipelines Solid experience designing and operating data pipelines (Kafka, Spark, Airflow, etc.) Strong Linux fundamentals and scripting (Python and/or Bash) Deep understanding of database reliability (replication, backups, failover) Demonstrated ability to independently assess complex systems, challenge existing designs, and drive technical improvements Strong communication skills, with the ability to influence stakeholders and mentor other engineers Nice to have: OLAP / high-throughput systems experience at scale Experience with VAST Data or similar storage systems Familiarity with Iceberg, Delta Lake or Hudi Observability tools (Prometheus, Grafana, OpenTelemetry) GitOps tools (ArgoCD, Flux) CKA/CKAD or equivalent deep Kubernetes expertise Programming in Go, Rust, or Python Knowledge of Parquet/Arrow and query engines AWS certifications Prior experience in a technical lead or staff-level role 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: London 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 at QRT: We are looking for an exceptional Software Engineer to be an integral member of the Data and Lifecycle team. We work closely with trading and research functions to provide trade and position lifecycle automations (corporate actions, expiries, coupon payments, etc), maintain reference data, handle internal and external reporting and generate reports for Front office use across different teams. This position has a specialized focus as an SME for Derivatives - Reference Data and Lifecycle . This high-visibility position will directly impact trading and business operations by providing expert guidance on equity-related reference data, events and automating complex lifecycle processes. Your responsibilities will include: Be involved in the design and implementation of scalable, high-performance solutions for trade and position lifecycle automations for derivative products, ensuring accuracy and operational efficiency. Ensure the availability and quality of reference data for different types of derivatives traded by QRT. Partner closely with a variety of stakeholders and maintain alignment with business needs. Your present skillset: 4+ years of work experience in a quantitative trading environment Deep understanding of derivatives (especially futures and options) with regards to reference data and the asset’s lifecycle events In depth knowledge of how derivatives are treated in different markets / exchanges. Advanced programming skills, with a drive for delivering strategic solutions. Programming language agnostic. Experience with Python or C# is a plus but should be willing to pick up. Familiarity with SQL and relational databases. Knowledge of testing as part of continuous delivery and integration pipelines. Excellent communication skills, and ability to collaborate effectively in a small, close-knit team. Fluency in English, both written and verbal communication skills 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: London 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 at QRT: We are looking for an exceptional Software Engineer to be an integral member of the Data and Lifecycle team. We work closely with trading and research functions to provide trade and position lifecycle automations (corporate actions, expiries, coupon payments, etc), maintain reference data, handle internal and external reporting and generate reports for Front office use across different teams. This position has a specialized focus as an SME for Equities, ETFs Reference Data and Corporate Actions . This high-visibility position will directly impact trading and business operations by providing expert guidance on equity-related reference data, events and automating complex lifecycle processes. Your responsibilities will include: Be involved in the design and implementation of scalable, high-performance solutions for trade and position lifecycle automations for corporate actions, ensuring accuracy and operational efficiency. Ensure the availability and quality of reference data for diverse asset types, with a particular emphasis on equities and corporate actions. Partner closely with a variety of stakeholders and maintain alignment with business needs. Validate systems and procedures related to reference data and corporate actions, ensuring robust trade/position checks and alignment with brokers and fund administrators. Your present skillset: Deep understanding of equities, ETFs and their derivatives with regards to reference data and corporate actions Advanced Python programming, design, and architecture. Familiarity with SQL and relational databases. Experience with C# is a plus Knowledge of testing as part of continuous delivery and integration pipelines. Excellent communication skills, and ability to collaborate effectively in a small, close-knit team. Fluency in English, both written and verbal communication skills 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: Hong Kong 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 at QRT: We are looking for an exceptional Software Engineer to be an integral member of the Data and Lifecycle team. We work closely with trading and research functions to provide trade and position lifecycle automations (corporate actions, expiries, coupon payments, etc), maintain reference data, handle internal and external reporting and generate reports for Front office use across different teams. This position has a specialized focus as an SME for Derivatives - Reference Data and Lifecycle . This high-visibility position will directly impact trading and business operations by providing expert guidance on equity-related reference data, events and automating complex lifecycle processes. Your responsibilities will include: Be involved in the design and implementation of scalable, high-performance solutions for trade and position lifecycle automations for derivative products, ensuring accuracy and operational efficiency. Ensure the availability and quality of reference data for different types of derivatives traded by QRT. Partner closely with a variety of stakeholders and maintain alignment with business needs. Your present skillset: 4+ years of work experience in a quantitative trading environment Deep understanding of derivatives (especially futures and options) with regards to reference data and the asset’s lifecycle events In depth knowledge of how derivatives are treated in different markets / exchanges. Advanced programming skills, with a drive for delivering strategic solutions. Programming language agnostic. Experience with Python or C# is a plus but should be willing to pick up. Familiarity with SQL and relational databases. Knowledge of testing as part of continuous delivery and integration pipelines. Excellent communication skills, and ability to collaborate effectively in a small, close-knit team. Fluency in English, both written and verbal communication skills 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: Hong Kong 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 at QRT: We are looking for an exceptional Software Engineer to be an integral member of the Data and Lifecycle team. We work closely with trading and research functions to provide trade and position lifecycle automations (corporate actions, expiries, coupon payments, etc), maintain reference data, handle internal and external reporting and generate reports for Front office use across different teams. This position has a specialized focus as an SME for Equities, ETFs Reference Data and Corporate Actions . This high-visibility position will directly impact trading and business operations by providing expert guidance on equity-related reference data, events and automating complex lifecycle processes. Your responsibilities will include: Be involved in the design and implementation of scalable, high-performance solutions for trade and position lifecycle automations for corporate actions, ensuring accuracy and operational efficiency. Ensure the availability and quality of reference data for diverse asset types, with a particular emphasis on equities and corporate actions. Partner closely with a variety of stakeholders and maintain alignment with business needs. Validate systems and procedures related to reference data and corporate actions, ensuring robust trade/position checks and alignment with brokers and fund administrators. Your present skillset: Deep understanding of equities, ETFs and their derivatives with regards to reference data and corporate actions Advanced Python programming, design, and architecture. Familiarity with SQL and relational databases. Experience with C# is a plus Knowledge of testing as part of continuous delivery and integration pipelines. Excellent communication skills, and ability to collaborate effectively in a small, close-knit team. Fluency in English, both written and verbal communication skills 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: Paris 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. This team is integral to the firm’s success. We are seeking a technically skilled Data Support Engineer to support quantitative researchers and traders in navigating and using extensive datasets. You will support all data users, contribute to documentation, and ensure data quality. Your future role within QRT Provide first-line support to researchers and traders for data access ad usage. Collaborate with data engineers to resolve data issues. Onboard new hires and train them on using data tools and processes efficiently. Manage JIRA workflows, track support requests, and ensure timely resolution of data issues. Contribute to data documentation. Contribute to extending data coverage (live collection and backfills) Your present skillset A bachelor’s degree in Data Science, Computer Science, Finance, or a related field. Experience in data support, IT helpdesk, or technical support, ideally within finance. Strong command of Python and data libraries. Proficiency with data systems, pipelines, and APIs. Experience with JIRA or similar project management tools. Strong problem-solving skills, communication abilities, and attention to detail. 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.

Задачи: — участие в создании ML-продуктов; — проектирование контролируемых экспериментов (A/B-тесты) и интерпретация их результатов; — проведение аналитики на больших данных для поиска полезных инсайтов; — формирование ad-hoc выгрузок и отчётов по запросам заказчиков; — разработка и оптимизация регулярных пайплайнов; — взаимодействие в команде с Data Scientist, Data Analyst, Data Engineer и PM. Требования: — базовый опыт работы с продуктовой документацией (Notion, Confluence или аналоги) и таск-трекерами; — аналитическое и структурное мышление, интерес к данным и Machine Learning, понимание принципов работы ML-моделей; — знание основ SQL — умение писать запросы с JOIN и подзапросами; — владение Python на базовом уровне (структуры данных, циклы, функции, исключения); — способность освоить построение простых визуализаций в BI-инструментах; — знание базовых принципов теории вероятности, А/Б-тестирования и проверки гипотез; — понимание продуктовых фреймворков и жизненного цикла продукта (опыт — преимущество); — умение применять ИИ-инструменты для вспомогательных задач и критически оценивать их ответы. Условия: удалённая работа, частичная занятость.

-разработка и оптимизация ETL/ELT-конвейеров для обработки больших данных. -настройка и администрирование Hadoop/Spark-инфраструктуры (HDFS, YARN, Hive, HBase).

Location: Москва, RU; Россия О команде Мы — команда Seller Marketing Analytics, или SMAK, Seller Marketing Analytics Knights. Помогаем маркетингу продавцов превращать инвестиции в измеримый рост бизнеса. Для нас рекламная кампания — это гипотеза: до запуска договариваемся, как оценим эффект, проводим тест и используем выводы в следующих кампаниях. Хотим увеличивать долю маркетингового бюджета, для которой способ оценки эффекта определён заранее. Работаем на стыке маркетинга, продукта и бизнеса. В команде много открытых задач, где нужно разобраться в проблеме, предложить подход и довести проект до результата. AI — один из рабочих инструментов: используем агентов в повседневной работе, проверяем их выводы и автоматизируем повторяющиеся задачи. Вы будете работать с маркетингом продавцов в Авито Товарах: помогать команде планировать рекламные кампании, участвовать в запуске и оценивать их эффект. Среди таких кампаний — CRM-рассылки, спецпроекты и масштабные рекламные кампании, которые объединяют перфоманс-рекламу, медийную рекламу, SMM и другие каналы. Какие задачи вас ждут: — вместе с маркетингом формулировать гипотезы, выбирать метрики и продумывать оценку до старта кампании; — подбирать метод под задачу: от классических AB-тестов на нашей платформе Trisigma до методов причинно-следственного анализа; — разбирать результаты и помогать команде решать, какие механики развивать и что менять в следующих запусках; — вести аналитические проекты: договариваться о приоритетах и сроках, обсуждать ограничения и планировать работу на спринт и квартал. Мы ждём, что вы: — не менее 3 лет работали в аналитике данных или продуктовой аналитике; — умеете работать с разными заказчиками: разбираться в их задачах, согласовывать приоритеты и переключаться между бизнес-контекстами; — предлагаете собственные гипотезы и можете аргументировать свою позицию, услышать другую сторону и найти рабочий компромисс; — вели аналитические проекты с влиянием на бизнес: превращали открытый вопрос в задачу для анализа, проверяли выводы и показывали, как результаты связаны с бизнес-метриками; — имеете опыт проектирования и анализа AB-тестов: выбираете метрики, рассчитываете размер выборки и длительность эксперимента, проверяете корректность теста и интерпретируете результаты; — применяете ML для анализа факторов, связанных с изменением бизнес-метрик, и прогнозирования временных рядов; — умеете проверять качество моделей и понимаете, когда их выводы позволяют говорить о связях, а когда — о причинном эффекте; — используете AI и агентов для технической части работы, умеете проверять их результат и отвечаете за выводы, которые приносите заказчику. Будет здорово, если вы: — имеете опыт работы в маркетинговой аналитике; — оценивали инкрементальный эффект маркетинга, строили модели атрибуции или анализировали кампании со сложными механиками. Работа у нас — это: — команда с сильной экспертизой и развитое профессиональное сообщество; — прозрачная система премий и зарплата, размер которой обсудим на собеседовании; — личный бюджет на обучение: книги, курсы и конференции; — расширенная забота о здоровье: ДМС, страхование жизни, онкострахование; — сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких; — корпоративный спорт: групповые тренировки, велбиинг-приложение; — спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование; — компенсация питания; — возможность работать удалённо или из офиса в 2 минутах от метро «Белорусская»: есть места для уединённой работы и зоны отдыха.

Responsibilities: — Act as the dedicated analyst on the product, supported by a data team of over 10 people using BigQuery, dbt, and Tableau. Requirements: — At least 3 years of experience in web subscription or e-commerce analytics. — Strong skills in SQL and Python. — Experience setting up tracking from scratch at least once. Benefits: — Not specified.

Responsibilities: — Build BI dashboards and transform data into actionable business decisions. Requirements: — Advanced SQL skills including window functions with over 5 years of experience in data analytics. — Proficiency in Tableau, ClickHouse, Excel or Google Sheets. — Experience in hypothesis validation, ad-hoc analysis, and ensuring reliable data flows. — Bonus skills include Python programming and experience in Contact Centre or Customer Support.

Требования: — опыт работы с Databricks — знание PySpark и Spark — опыт работы с Azure Cloud — навыки в области Data Warehousing и ETL/ELT О компании: Международная команда, строящая современные облачные дата-платформы и аналитические решения. Формат работы: удаленно. Местоположение: Польша.