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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.
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: Ansatzcapital
Contact Detail:
Ansatzcapital 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 professionals in the finance and tech sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for trading strategies.
✨Tip Number 2
Showcase your skills! Create a portfolio of your Python projects, especially those related to quantitative finance. This will give potential employers a taste of what you can do and how you think about market dynamics.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss your thought process when tackling statistical patterns and how you would implement your ideas in code. Practice coding challenges to keep your skills sharp!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Research Engineer in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it to solve quantitative problems or implement trading strategies. If you’ve got any cool projects or examples, don’t hesitate to share them!
Be Curious and Creative: We love candidates who are intellectually curious! In your application, mention any novel ideas or hypotheses you've explored in the financial markets. Show us your passion for research and how you think outside the box.
Collaborate and Communicate: Since collaboration is key in our team, make sure to mention any experiences where you worked with others on trading ideas or research projects. Highlight your ability to communicate complex concepts clearly – it’s a big plus for us!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Ansatzcapital
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss how you've used Python to implement statistical ideas or trading strategies in the past. Practising coding problems related to quantitative finance can also give you a leg up.
✨Show Off Your Problem-Solving Skills
Prepare to demonstrate your quantitative problem-solving abilities. Think of specific examples where you've identified patterns or solved complex problems, especially in financial contexts. This will show that you're not just a coder but a thinker too!
✨Be Curious About Financial Markets
Since the role involves trading strategies, it’s crucial to express your interest in financial markets. Read up on current trends and be ready to discuss any interesting market dynamics you've noticed. This shows that you're engaged and eager to learn more.
✨Collaborate and Communicate
Highlight your teamwork skills during the interview. Discuss experiences where you've collaborated on projects or trading ideas. Being able to communicate your thoughts clearly and work well with others is key in this role, so don’t shy away from sharing those stories!
