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- Tasks: Implement back testing trading strategies and enhance risk models for FX and Equities.
- Company: Leading global asset management firm in Greater London.
- Benefits: Competitive salary, dynamic work environment, and direct impact on trading strategies.
- Why this job: Join a tech-driven team and make a real difference in trading without the red tape.
- Qualifications: Strong knowledge of C#, Excel, Python, and understanding of FX/Equity risk models.
- Other info: Collaborative culture with opportunities for personal and professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading global asset management company in Greater London is seeking a Quantitative Developer to join their technology group. The candidate will implement back testing trading strategies and enhance risk models across FX and Equities.
Essential skills include:
- Strong knowledge of C#
- Excel
- Python
- Understanding of risk with FX/Equity vol calibration
The ideal candidate will possess high technical knowledge and analytical skills, and work directly on trading desk enhancements without bureaucracy or politics.
Quant Developer: FX & Equities Trading Tech (C# / Python) in London employer: SRM Recruitment
Contact Detail:
SRM Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer: FX & Equities Trading Tech (C# / Python) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects, especially in C# or Python, make sure to highlight them. Real-world examples speak volumes!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding risk models. Practice common questions and scenarios related to FX and Equities.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can bring their A-game to our tech group.
We think you need these skills to ace Quant Developer: FX & Equities Trading Tech (C# / Python) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong knowledge of C#, Python, and Excel in your application. We want to see how your technical skills align with the role, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your understanding of FX and Equities, and how you've applied risk models or trading strategies in the past. We love seeing candidates who take the time to connect their experience to what we do!
Be Analytical: Since this role requires high analytical skills, consider including examples of how you've tackled complex problems in your previous roles. We appreciate candidates who can think critically and provide insights into their thought processes.
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 it gets to the right people quickly. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at SRM Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your C# and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to back testing trading strategies or enhancing risk models.
✨Understand FX and Equities
Familiarise yourself with FX and equity vol calibration concepts. Being able to talk about how these elements impact trading strategies will show that you have the analytical skills they’re looking for.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of risk models and trading strategies. Practise coding challenges or algorithm questions related to finance to demonstrate your problem-solving abilities.
✨Show Your Collaborative Spirit
Since you'll be working directly with the trading desk, highlight any past experiences where you collaborated closely with traders or other tech teams. Emphasise your ability to communicate effectively and work without bureaucracy.
