Full-Time

Quantitative Developer

Confirmed live in the last 24 hours

Point72

Point72

201-500 employees

Global asset management firm specializing in investments

Quantitative Finance
Financial Services

Mid, Senior

New York, NY, USA

Category
Quantitative Analysis
Algorithm Development
Quantitative Trading
Quantitative Finance
Software Engineering
Required Skills
Python
Docker
Pandas
NumPy
Development Operations (DevOps)
Requirements
  • A highly skilled technologist with good quantitative skills
  • Masters or PhD in computer science or other quantitative discipline
  • 1-5 years of industry experience, preferably within in a quantitative trading business or big tech firm
  • Good mathematical skills a plus
  • Broad knowledge and experience with performance tradeoffs for common hardware and technology decisions
  • Strong architectural design skills
  • Strong programming skills in Python
  • Expertise with basic data science ecosystem (Pandas or Polars) and scientific computing stack (NumPy, SciPy)
  • Virtual environment technologies (Conda, Docker, etc.), and devops
  • Experience with real-time streaming or event-based workflows
  • Strong project management skills, i.e. the ability to manage multiple tasks and deadlines in a fast-paced environment
  • Ability to work cooperatively with all levels of staff and to thrive in a team-oriented environment
  • Commitment to the highest ethical standards
Responsibilities
  • Developing trading and research architecture and infrastructure
  • Building high-performance components for both live trading and simulation
  • Developing a seamless platform to handle all aspects of quant trading—model building, optimization, and trade execution
  • Distributed computing
  • Maintaining and updating the platform, ensuring its stability, robustness, and security
  • Troubleshooting and resolving any systems related issues and handling the release of code fixes and enhancements

Point72 is an asset management firm that focuses on various investment strategies, including discretionary long short equity, systematic investing, and macro strategies. The firm also invests in private markets, catering to a wide range of clients such as institutional investors, high-net-worth individuals, and family offices. Point72 operates in major financial centers around the world, using its expertise to find and take advantage of investment opportunities across different asset classes and regions. Unlike many competitors, Point72 aligns its earnings with client success through management fees and performance incentives. The firm aims to create superior returns for its clients while promoting a culture of excellence and supporting community initiatives through its ESG efforts.

Company Stage

Private

Total Funding

$937.2M

Headquarters

Stamford, Connecticut

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • Point72's focus on AI enhances predictive analytics and decision-making processes.
  • Expansion in private markets offers diversification and potential for higher returns.
  • Hiring tech-savvy executives boosts Point72's competitive advantage in technology.

What critics are saying

  • Competition for talent as former executives join competitors like Galaxy Digital.
  • Potential valuation risks with investments like Knowde's lower Series C valuation.
  • Regulatory challenges in AI and autonomous tech investments, such as Overland AI.

What makes Point72 unique

  • Point72 leverages diverse strategies including discretionary long/short equities and macro investing.
  • The firm operates in major financial hubs like New York, London, and Hong Kong.
  • Point72 integrates ESG efforts, aligning investment success with social responsibility.

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Benefits

Fully-paid health care benefits

Generous parental and family leave policies

Mental and physical wellness programs

Volunteer opportunities

Non-profit matching gift program

Support for employee-led affinity groups representing women, minorities and the LGBT+ community

Tuition assistance

A 401(k) savings program with an employer match and more