Research Engineer

Posted 12 Days Ago
Be an Early Applicant
New York, NY
Hybrid
150K-250K Annually
Entry level
Angel or VC Firm • Software • Financial Services
The Role
The research engineer will research, test, and deploy trading strategies while building infrastructure to support this work. Key responsibilities include writing Python code to model statistical relationships in securities and developing new tools for research and trading. Collaboration on trading ideas is essential, along with a keen interest in financial patterns and markets.
Summary Generated by Built In

We are looking for a research engineer to research, test, and deploy new trading strategies, as well as to design and build research infrastructure to test trading ideas.


Candidates focusing on strategy development should be strong quantitative problem solvers interested in identifying and monetizing statistical patterns in the financial markets and also adept at implementing their ideas in Python. We are looking for someone who is both intellectually curious and also self-sufficient to help maintain and develop various trading strategies.


Candidates with software implementation skills and comfort in implementing both performant code and designing user-friendly tools will also be strongly considered. We are looking for someone who is effective at building usable software quickly and correctly to extend the scope of our quantitative research and coverage of our trading strategies.


Compensation consists of base salary, discretionary performance bonus, and possible participation in longer-term incentive schemes.

Duties

  • Writing Python code to express statistical ideas and relationships between securities
  • Coming up with and iterating upon novel ideas and hypotheses about market participants and dynamics
  • Collaborating with teammates on new trading ideas
  • Extending existing research tools to support novel use cases and needs, as well as designing and implementing new tools to support research and trading needs

Qualifications

  • Bachelor’s in computer science, mathematics, physics, or similar field, with strong familiarity with statistics and quantitative problem-solving
  • Self-sufficient ability to implement statistical ideas in code
  • Strong familiarity with Python and C++ (or equivalent) preferred
  • Interest in financial markets or learning more about financial markets
  • Previous experience in quantitative finance or trading is a plus, but is not required

Benefits

  • Catered meals and bountiful snacks
  • Generous budget for home office equipment
  • Health / Dental / Vision / 401k
  • Fitness and wellness benefits
  • Base compensation: $150,000-250,000 with additional discretionary annual performance bonus

Top Skills

C++
Python
The Company
New York, New York
20 Employees
On-site Workplace
Year Founded: 2013

What We Do

Ansatz Capital is a quantitative trading software firm based in downtown Manhattan. Our highly technical team believes in treating markets as an intellectual discipline—something that can be studied, refined, and innovated upon.

We believe in the value in gathering a talented group of people and letting them work together intelligently. By keeping the team lean, our group achieves more, and more quickly than other industry leaders. Supported by world class technology, we generate and implement unparalleled research ideas. Collaboration has been key to our success, and culture is a key driver of that collaboration.

We’re always excited to speak to exceptional candidates. If you'd like to learn more, you can contact us at [email protected]

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