Job offer

Quant Developer

The Quant Developer will be responsible for developing and maintaining Python data pipelines and analytics platforms for the Discretionary Investment Team and will serve as the technical point of contact for the New York office. The role involves developing solutions for portfolio management, risk, and investment analysis, as well as collaborating with stakeholders to translate business requirements into technical solutions.

The Position

This is an engineering role based at the intersection of the Man Group Discretionary (public markets) and Solutions Technology teams in New York. The role involves supporting portfolio managers, analytics, and technology teams with investment and portfolio management tools.

Tasks

The role includes:
  • Python data pipelines and analytics platforms for discretionary investment teams (equities, credit, alternatives), as well as Python systems for systematic fund analytics, portfolio management, and risk
  • Design, testing, and construction; maintenance and scaling of production systems; and serving as the technical point of contact for New York-based stakeholders

technology stack

Our technology stack includes:
  • Python (primarily), TypeScript/React
  • Cloud service providers: AWS, GCP
  • Binomial Financials/Fast
  • Continuous Integration/Dreamfactory, Tableau
  • Infrastructure: Backends, Brokers
  • A suite of in-house ML/AI tools, vector search, RAS

key areas

The key responsibilities of the role are:
  • Development & Delivery (70%): Building, expanding, and maintaining Python data pipelines; contributing to AI-driven tools for investment teams
  • Stakeholder Engagement (20%): Primary technical point of contact for New York-based downstream and solutions stakeholders
  • Production Operations (10%): Delivery of production-ready solutions for systems in the portfolio

Requirements

The requirements for this role are:
  • 2+ years of professional experience in software engineering with a strong track record of success
  • Extensive experience in Python development, familiarity with data science, type hints, and OOP design
  • Previous experience in financial services, particularly in portfolio management, risk management, or investment operations
  • Knowledge of data science, distributed data platforms, and real-time data ingestion
  • AI/ML experience in building or integrating L3 technology or L1 bots
  • Robust testing practices, pytest, unit tests, integration tests
  • Degree in a STEM field or equivalent practical experience

We offer

We offer:
  • Compensation for this position, including a one-year sign-on bonus
  • Stocks – Man Group offers a hybrid stock compensation plan tied to performance
  • Benefits – As a Man Group employee, you’ll enjoy a comprehensive compensation package, including competitive vacation time, life and long-term disability insurance, a retirement plan, and health insurance

Job details

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