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- Tasks: Prototype and validate analytics for fixed income products using Python.
- Company: Dynamic financial data firm in London with a tech-driven approach.
- Benefits: Flexible working arrangements and opportunities to influence product development.
- Why this job: Join a small, agile team and turn market data into actionable insights.
- Qualifications: 2–5 years of experience in quantitative finance and strong Python skills.
- Other info: Be part of a growing organisation with exciting career prospects.
The predicted salary is between 43200 - 72000 £ per year.
A technology-driven financial data firm in London is looking for a Fixed Income Quantitative Analyst to prototype and validate analytics for fixed income products. Collaborating with a small, agile team, you will convert raw market data into actionable insights.
Ideal candidates have 2–5 years of relevant experience, strong Python skills, and a background in quantitative finance. The role offers flexible working arrangements and the chance to influence product development within a growing organization.
Hybrid Fixed Income Quant Analyst (Python/QuantLib) in London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Fixed Income Quant Analyst (Python/QuantLib) 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 Python and quantitative skills.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical knowledge, especially around Fixed Income products and QuantLib. Practice common interview questions and be ready to showcase how you can turn raw data into actionable insights.
✨Tip Number 3
Don’t just apply anywhere—focus on companies that align with your values and career goals. We recommend checking out our website for tailored job listings that fit your skills and interests, especially in the financial data space.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind as they make their decision.
We think you need these skills to ace Hybrid Fixed Income Quant Analyst (Python/QuantLib) in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in real-world scenarios, especially in quantitative finance. Don't just say you're good at it; give us examples!
Quantitative Finance Background is Key: Since we're looking for someone with a solid background in quantitative finance, be sure to mention any relevant experience or projects. We love seeing how you've tackled complex financial problems and turned data into insights.
Tailor Your Application: Take the time to customise your application for this role. We appreciate when candidates connect their skills and experiences directly to what we do at StudySmarter. Show us why you're the perfect fit for our team!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it's super easy!
How to prepare for a job interview at Harrington Starr
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss specific libraries and frameworks you've used, especially in relation to QuantLib. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand Fixed Income Products
Familiarise yourself with various fixed income products and their analytics. Be ready to explain how you would approach prototyping and validating these products. Showing that you can convert raw market data into actionable insights will impress the interviewers.
✨Showcase Your Collaborative Spirit
Since this role involves working with a small, agile team, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals, particularly in quantitative finance projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to product development and how they leverage technology in their analytics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
