At a Glance
- Tasks: Research and develop innovative trading strategies using Python and quantitative analysis.
- Company: Dynamic financial firm focused on cutting-edge trading technologies.
- Benefits: Catered meals, wellness perks, generous home office budget, and competitive salary.
- Other info: Exciting opportunities for growth in a fast-paced environment.
- Why this job: Join a team where your ideas can shape the future of trading.
- Qualifications: Bachelor’s in relevant field with strong coding and problem-solving skills.
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 monetising 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 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.
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 / pension
- Fitness and wellness benefits
- Base compensation: £150,000-250,000 with additional discretionary annual performance bonus
Research Engineer in London employer: Ansatz
Ansatz is an attractive employer due to its focus on innovation and quantitative research in trading strategies. Employees benefit from a competitive compensation structure and opportunities for professional growth in a collaborative environment.
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We think this is how you could land Research Engineer in London
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We think you need these skills to ace Research Engineer in London
Some tips for your application 🫡
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
