Full-Time

Data Scientist

Stealth Project, London

Posted on 1/18/2024

The Voleon Group

The Voleon Group

51-200 employees

Investment management using machine learning algorithms

Quantitative Finance
Financial Services

Entry, Junior

London, UK

Hybrid position in London.

Category
Data Science
Data & Analytics
Required Skills
Bash
Data Science
R
Git
SQL
Pandas
Linux/Unix
Data Analysis
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)
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

Voleon focuses on investment management by utilizing machine learning to analyze financial market trends and identify patterns for investment decisions. The firm serves institutional clients, such as pension funds and endowments, and differentiates itself with proprietary algorithms that adapt to market changes. Voleon operates on a performance-based fee model, aligning its interests with those of its clients. The company's goal is to optimize investment strategies through data-driven insights and rigorous academic research.

Company Stage

N/A

Total Funding

N/A

Headquarters

Berkeley, California

Founded

2007

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased interest in ESG investing aligns with Voleon's data-driven approach.
  • Alternative data sources enhance Voleon's machine learning strategies.
  • Reinforcement learning offers potential for improved decision-making in Voleon's trading strategies.

What critics are saying

  • Competition from other quantitative hedge funds could erode Voleon's market share.
  • Technological advancements require costly updates to Voleon's algorithms.
  • Regulatory scrutiny on AI use in finance may impose new compliance costs.

What makes The Voleon Group unique

  • Voleon uses machine learning to predict financial market trends since 2007.
  • The firm serves institutional clients with a focus on scalability and risk management.
  • Voleon's academic approach emphasizes intellectual rigor and continuous learning.

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