The Data Scientist will analyze complex datasets, ensuring data correctness while developing insights and automation for investment management.
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.
Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals.
In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.
The Voleon Group is forming a new team to help advance our data-driven investment initiatives. As a Data Scientist, you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business.
Responsibilities
- Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds
- Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders
- Perform extemporaneous analyses on research and production trading systems with leadership
- Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems
- Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring
Requirements
- 1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization
- Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions
- Ability to frame and answer questions mathematically
- Ability to infer useful forward-looking directions from results of retrospective analysis
- Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R
- Basic software development skills and experience with bash, linux/unix, and git
- Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication
- Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)
Preferred
- Master’s degree in a quantitative discipline
- Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships
- Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow
Compensation
The base salary range for this position is $150,000 to $190,000 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.
#LI-MD1
Top Skills
Airflow
Bash
Ci/Cd
Git
Linux
Pandas
Python
R
SQL
Unix
Similar Jobs
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Senior Data Scientist at Coinbase will analyze ambiguous problems, own core metrics, and drive data science projects, impacting business decisions.
Top Skills:
PythonSQL
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.
Top Skills:
PythonRSQLTableau
Edtech
As a Senior Data Scientist, you'll partner with teams to build data-powered tools, optimize performance metrics, and champion data adoption across departments.
Top Skills:
Aws QuicksuiteAws SagemakerPythonSQL
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
