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Data Scientist, Mi-Analytics

Point72

Recently Verified
Data ScienceAsset ManagementMid-Level (3-5 yrs)HybridHedge Fund

Bring your ML skills to Point72's Market Intelligence Analytics team, building models that inform discretionary investment decisions across a $34B global hedge fund.

AI β†’ FinanceTransition-Friendly

Location

United Kingdom

Posted

Mar 24, 2026

Insider Signals

Beta

Company AI Context

AI Maturity

established

AI Team Size

Mi-Analytics team embedded across Point72's global investment platform; firm manages ~$34B AUM

Tech Stack

pythonsparksqlrcloud-infrastructurealternative-data-platforms

Recent News

Point72 Asset Management is actively expanding its data science and AI capabilities to support global discretionary investment strategies across macro, equity, and credit domains.

Build ML models and analytical tools that convert complex datasets into actionable investment insights for Point72's discretionary investment teams.

## About the Role Point72 is a global multi-strategy investment firm managing approximately $34B in assets. This role sits within the Mi-Analytics (Market Intelligence Analytics) team, which works with investment professionals to convert complex datasets into actionable insights that inform discretionary investment strategies. ## Responsibilities - Handle large, unstructured datasets and prepare them for analysis by investment teams - Build statistical and ML models to identify patterns and generate forecasts for investment decisions - Create scalable analytical tools and workflows for investment professionals - Manage research projects from design through validation and performance monitoring - Collaborate with investment, research, compliance, and engineering teams - Communicate findings through reports and presentations for diverse audiences - Monitor emerging trends in alternative data and AI applications in finance ## Requirements - Master's degree in a quantitative field with 2+ years of professional experience, or PhD - Expertise in statistics, data mining, and machine learning - Strong programming abilities in Python, SQL, Spark, and/or R - Demonstrated experience with large, complex datasets in applied contexts - Proven track record delivering analytical solutions with measurable business value - Excellent communication skills for technical and non-technical audiences - GenAI tool experience considered advantageous

Skills & Technologies

PythonSQLSparkRMachine learningStatistical modelingAlternative dataInvestment analyticsGenAI tools

Best Backgrounds

  • Data scientists with financial or alternative data experience
  • Quantitative analysts with ML and programming capabilities
  • ML researchers interested in investment applications and financial data

Related Titles to Explore

  • Quantitative Analyst
  • Investment Data Scientist
  • Research Analyst
  • Alternative Data Scientist

Career Bridge Playbook

Beta

Career paths into this role

Data Scientist
Quantitative Analyst
ML Researcher

Where this role leads

Senior Data Scientist
Head of Analytics
Portfolio Analyst

Transition Difficulty

medium

Key Skill Gaps to Close

  • Investment domain knowledge
  • Alternative data sourcing
  • Hedge fund workflows

Skills used in this role

Technical

pythonsqlsparkrmachine-learningstatistical-modelinggenai-tools

Domain

alternative-datainvestment-researchfinancial-forecastingdiscretionary-investing

Soft Skills

communicationproject-managementethical-standards

Interested in this role?

Apply directly on the company's career page.

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