The Voleon Group

Lead and mentor data science teams, develop analytical systems, and ensure methodological rigor in high-stakes financial environments. | Requires a master's degree or higher in a quantitative field, 3+ years managing data scientists, and experience with data tooling and workflows. | Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Data is at the heart of everything we do—from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead – Data Science, you will provide technical direction and management for a team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice. Responsibilities • Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders. • Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies. • Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects. • Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility. • Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness. • Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews). • Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation. Requirements • Master’s degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training. • 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution. • Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery. • Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas. • Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively. • Basic software development skills and experience with bash, linux/unix, and git • Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations. • Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments. Preferred • Experience building or growing high-performing data science teams in production-aware or high-stakes settings. • Exposure to financial markets, trading systems, or quantitative research environments. • Familiarity with production monitoring systems, data quality pipelines, or analytics platform development. • 7+ years of experience managing data scientists. • Experience managing a large team or multiple teams. Compensation The base salary range for this position is $195,000 to $225,000 in the location(s) of this posting. Individual salaries are determined by a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geographic location. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, as well as life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lead and mentor a team of data scientists, design and deploy analytical pipelines, and ensure data quality and methodological rigor in production monitoring and research systems. | Master’s degree in a quantitative field, 3+ years managing data scientists, strong data science fundamentals, software development basics, and experience with data tooling and cross-functional leadership. | Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Data is at the heart of everything we do—from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead – Data Science, you will provide technical direction and management for a team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice. \n Responsibilities Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders. Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies. Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects. Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility. Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness. Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews). Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation. Requirements Master’s degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training. 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution. Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery. Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas. Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively. Basic software development skills and experience with bash, linux/unix, and git Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations. Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments. Preferred Experience building or growing high-performing data science teams in production-aware or high-stakes settings. Exposure to financial markets, trading systems, or quantitative research environments. Familiarity with production monitoring systems, data quality pipelines, or analytics platform development. 7+ years of experience managing data scientists. Experience managing a large team or multiple teams. \n $195,000 - $225,000 a year \n Compensation The base salary range for this position is $195,000 to $225,000 in the location(s) of this posting. Individual salaries are determined by a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geographic location. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, as well as life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lead multiple engineering teams to develop and operate high-performance, high-availability trading systems and manage engineering managers and individual contributors. | 10+ years software engineering experience, 3+ years people management, experience with ML model production deployment, managing large teams, and strong technical and operational expertise. | Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. As Director of Engineering, Strategy Applications, you will lead a group of high-performing technical teams responsible for a key component of the Voleon technology platform. Your teams will operationalize the outputs of our research organization and power our trading engine. Your group will develop abstractions that encapsulate core business logic for the entire firm that can be consumed across a wide portfolio of strategy types. You will develop and own the systems that execute, reconcile, and bookkeep our trading operations each day. Your teams will be responsible for delivering high-performance and high-availability systems that power model inference and quantitative trading components critical to the company's profitability. You will ensure that our services are maximally available, designed for resiliency and redundancy. You will bring an exceptional attention to detail to your work, ensuring that precision and correctness is applied across all dimensions of your team's portfolio. You will develop deep observability across all these systems, and grow an operations team responsible for their implementation. You will operate primarily as a people manager, but be unafraid to regularly engage deeply on technical problems with technical stakeholders. You will work directly with the VP of Engineering to execute on your vision for your team. You will grow and scale your team according to a roadmap that you develop and own, ensuring accountable, reliable delivery of this roadmap. You'll develop both managers and individual engineers in your group to deliver ever more from your organization. You'll collaborate with peers in engineering and stakeholders in research to balance a diverse set of requirements, and make tradeoffs to ensure the best outcomes for the firm. Your Team We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and selected from the sharpest minds at university programs. You and your teams will collaborate closely with top machine learning researchers. \n Responsibilities Effectively manage a group of frontline managers and senior individual contributors Attract, hire, and retain top engineering talent across your teams Develop ambitious yet achievable goals for your team, and reliably deliver results Work closely with stakeholder teams to develop a roadmap and future vision for your domain Engage deeply on technical details of the products and roadmap that your team owns Mentor and grow managers and individual contributors to continuously up-level your team Capture business logic to ensure reliable delivery of our core trading products Scale and operationalize our execution and production trading systems Collaborate with our operations team to oversee systems and capture data for compliance Requirements Computer Science Degree, or equivalent experience Demonstrated history of management of large engineering teams (25+ engineers) 10+ years software engineering experience and 3+ years people management experience Experience leading and developing both managers and individual contributors Proven ability to hire and manage exceptional engineers and technical managers Experience operating critical production systems with high-uptime requirements Experience deploying ML models to production via serving or batch contexts Knowledge of best practices for robust, high-availability design Ability to understand key details of technically complex systems \n The base salary range for this position is $310,000 to $325,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. Vaccination Requirement The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon’s ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.

Manage and grow a technical engineering team focused on FinOps automation, develop and deliver technical roadmaps, and integrate complex systems to improve operational efficiency. | Requires 5+ years software engineering experience, 2+ years people management, expertise in modern programming languages, and strong product engineering fundamentals. | Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. As a Technical Manager, you will be responsible for the technical and managerial oversight of your team. We believe the best Engineering leaders are deeply technical, and look for colleagues who are able to engage deeply on a technical level, developing their team in the process. You will also serve as a Product Owner, the key person for your domain of expertise. You will work closely with Engineering leadership and counterparts in FinOps to develop your team's roadmap, vision, and execute against it. As Technical Manager, FinOps Automation Engineering, you will lead a high-performing technical team responsible for accelerating the delivery from our FinOps organization. Your team will build and integrate tools across several functions to ensure that Voleon is always operating at peak efficiency. Your team will work to understand customer workflows in depth and build or buy compelling solutions that improve their efficiency. Your team will understand APIs, Integrations, and Data Platforms to provide deep insights and productivity for our internal partners in FinOps. You will work with the VP of Engineering, our IT Vendor Manager, and our Corporate IT team to execute on your vision for your team. You will grow and scale your team according to a roadmap that you develop and own, ensuring accountable, reliable delivery of this roadmap. You'll develop individual engineers in your group to deliver ever more from your organization. You'll collaborate with peers in engineering and stakeholders in FinOps to balance a diverse set of requirements, and make tradeoffs to ensure the best outcomes for the firm. Your Team We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and selected from the sharpest minds at university programs. You and your team will collaborate closely with colleagues operating a world-class hedge fund. \n Responsibilities Effectively manage a team of engineers Attract, hire, and retain top engineering talent Develop ambitious yet achievable goals for your team, and reliably deliver results Work closely with stakeholder team to develop a roadmap and future vision for your team Mentor and grow individual contributors to continuously up-level your team Deliver solutions quickly, at the right levels of technical depth and quality Understand customer challenges and provide appropriate solutions at the right technical level Integrate complex systems with easy to use tools and solutions Requirements Computer Science Degree, or equivalent experience 2+ years of people management experience 5+ years of software engineering experience Demonstrated history of management of engineering teams Proven ability to hire, manage, and grow exceptional engineers Expertise in a modern programming language, such as Python, Go, R, and/or C/C++ Strong product engineering fundamentals, working with customers to understand challenges Familiarity with common APIs, best practices, and data products \n The base salary range for this position is $225,000 to $255,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. Vaccination Requirement The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon’s ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.