The Research Engineer will research, test, and deploy trading strategies while designing research infrastructure and collaborating on innovative market ideas.
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
Ansatz Capital New York, New York, USA Office
New York, New York, United States
Similar Jobs
Information Technology • Software • Financial Services • Big Data Analytics
Quantitative Research Engineers at Citadel's GQS develop software solutions, enhance trading systems, and collaborate with researchers to apply quantitative techniques.
Top Skills:
C++Linux
Information Technology • Software • Financial Services • Big Data Analytics
Quantitative Research Engineers at Citadel develop software solutions using advanced quantitative techniques and technologies to optimize investment strategies, collaborating closely with researchers to enhance trading systems.
Top Skills:
C++Linux
Information Technology • Software • Financial Services
The role involves designing, developing, testing, and deploying software solutions for automated trading systems, collaborating with quantitative researchers to prioritize projects.
Top Skills:
C++Distributed ComputingMachine LearningNatural Language ProcessingNetworkingPlatform DevelopmentPythonRSystem DesignWeb Development
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
