At a Glance
- Tasks: Develop Python analytics for credit risk and capital management in a dynamic environment.
- Company: Join Quanteam, a leader in consulting with a focus on innovation and collaboration.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Embrace a culture of diversity and innovation, with excellent career advancement opportunities.
- Why this job: Make an impact in finance while working with cutting-edge technology and diverse teams.
- Qualifications: Strong Python skills and experience in quantitative finance or risk management.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a Python Quant Developer to support initiatives across Credit and Capital Management. The role focuses on building and enhancing analytics and tools used for risk measurement, capital calculations, and credit-related workflows within a quantitative environment.
You will:
- Develop and maintain Python-based analytics for credit risk and capital management
- Support capital calculations and reporting (e.g. regulatory or internal frameworks)
- Build tools for risk measurement, data analysis, and workflow automation
- Collaborate with quants, risk, and technology teams to deliver scalable solutions
- Contribute to the improvement of existing analytics and infrastructure
You will have:
- Strong programming skills in Python
- Experience working in quantitative / risk / capital management environments
- Understanding of credit risk and/or capital frameworks
- Ability to work with large datasets and analytical models
- Exposure to regulatory capital frameworks (e.g. Basel, FRTB)
- Experience with data pipelines or quantitative libraries
- Background in finance, mathematics, or a related field
Our Commitment: Built on excellence, collaboration and innovation, Quanteam partners with clients to strengthen resilience, accelerate transformation and build future-ready capabilities. We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.
Python Quantitative Developer (Credit & Capital Management) employer: Quanteam UK
Quanteam is an exceptional employer that fosters a culture of collaboration and innovation, making it an ideal place for a Python Quantitative Developer. With a strong commitment to employee growth, we offer opportunities to work on impactful projects in a diverse and inclusive environment, ensuring that every team member's contributions are valued. Located in a vibrant area, our workplace not only supports professional development but also promotes a healthy work-life balance, making it a rewarding choice for those seeking meaningful employment in the finance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Python Quantitative Developer (Credit & Capital Management)
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your Python skills.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python programming and quantitative concepts. Practice coding challenges and be ready to discuss your past projects, especially those related to credit risk and capital management.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach by researching the company’s recent projects or initiatives in credit and capital management. Mention these in your conversations to show you’re genuinely interested and informed.
✨Tip Number 4
Use our website to find job openings that match your skills. We’ve got a range of roles that could be perfect for you, so don’t hesitate to apply directly through us for a better chance at landing that dream job!
We think you need these skills to ace Python Quantitative Developer (Credit & Capital Management)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python programming skills and any experience in quantitative finance or risk management. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit risk and capital management. We love seeing candidates who can articulate their interest in the field and how they can contribute to our team.
Showcase Your Analytical Skills:Since the role involves working with large datasets and analytical models, make sure to mention any relevant experience you have. Whether it's through coursework, previous jobs, or personal projects, we want to know how you approach data analysis and problem-solving.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of 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 Quanteam UK
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific libraries and frameworks you've used, especially those related to quantitative finance or risk management. Practising coding problems can also help you demonstrate your programming prowess.
✨Understand Credit Risk and Capital Frameworks
Familiarise yourself with key concepts in credit risk and capital management, such as Basel regulations and FRTB. Being able to discuss these frameworks will show that you’re not just a coder but also understand the financial implications of your work.
✨Prepare for Data-Driven Questions
Expect questions about handling large datasets and analytical models. Think of examples from your past experiences where you successfully managed data pipelines or built tools for risk measurement. This will highlight your practical experience in a quantitative environment.
✨Show Your Collaborative Spirit
Since the role involves working with quants, risk, and technology teams, be prepared to discuss how you’ve collaborated in the past. Share examples of projects where teamwork led to successful outcomes, emphasising your ability to communicate effectively across different domains.
