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- Tasks: Research, test, and deploy innovative trading strategies using Python.
- Company: Dynamic financial tech firm focused on quantitative research.
- Benefits: Competitive salary, catered meals, wellness benefits, and home office budget.
- 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.
- Other info: Exciting opportunities for growth in a fast-paced environment.
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 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 / pension
- Fitness and wellness benefits
- Base compensation: £150,000-250,000 with additional discretionary annual performance bonus
Research Engineer in London employer: Ansatz Capital
Contact Detail:
Ansatz Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to trading strategies or quantitative analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle quantitative problems on the spot and discuss your thought process. Practice coding challenges that focus on statistical concepts and algorithms.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your relevant experience and enthusiasm for research engineering in finance.
We think you need these skills to ace Research Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and quantitative problem-solving skills in your application. We want to see how you can express statistical ideas through code, so don’t hold back on showcasing your best projects!
Be Curious: We love candidates who are intellectually curious! In your application, share any unique trading ideas or hypotheses you've explored. This shows us that you're not just about the basics but are eager to dive deeper into financial markets.
Tailor Your Application: Don’t send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Research Engineer role. Mention your experience with building research tools and collaborating on trading strategies to catch our eye.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Ansatz Capital
✨Know Your Python Inside Out
Since the role heavily involves writing Python code, make sure you brush up on your skills. Be prepared to discuss your previous projects and how you've implemented statistical ideas in Python. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Show Your Curiosity
This position values intellectual curiosity, so come ready with questions about the company's trading strategies and market dynamics. Discuss any novel ideas or hypotheses you've thought about in relation to financial markets. This shows you're not just a coder but also a thinker.
✨Collaborate Like a Pro
The job involves teamwork, so be ready to talk about your experience collaborating on projects. Share examples of how you've worked with others to develop trading ideas or research tools. Highlight your ability to communicate complex concepts clearly and effectively.
✨Understand the Financial Landscape
Even if you don't have extensive experience in finance, showing a genuine interest in the markets can set you apart. Read up on current trends and be prepared to discuss how they might influence trading strategies. This will demonstrate your commitment to learning and growing in the field.