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.
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
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
Catered meals and bountiful snacks
Generous budget for home office equipment
Health / Dental / Vision / 401k
Fitness and wellness benefits
About Ansatz Capital
Ansatz Capital is a quant trading startup based in downtown NYC. Two of our core beliefs are that top talent is a) under-leveraged and b) under-cultivated at most companies, both trading and just in general. Many companies are mostly talk when it comes to that stuff—we actually plan and act.
It's not just about quarter to quarter performance here. Even at the small size of 10, we've made substantial investments into building a strong culture when it comes to personal development, technical development, and giving each other thoughtful and direct feedback to help one another grow. Otherwise, what's the point of having great people if you aren't learning from one another as much as possible?
Along those lines, our highly technical team has participated in International Olympiads, published in academic journals, and had successful track records at several different trading and research firms. For a lean team, we have great diversity in experience and ability, and have leveraged this to trade a variety of asset classes across a dozen exchanges using research infrastructure we built in-house. This has enabled our teammates to be more effective at creating, testing, and deploying new trading ideas than we ever knew was possible from our collective experiences.