At a Glance
- Tasks: Migrate risk model code from R to Python and enhance credit banking models.
- Company: Global financial institution known for innovation and strong regulatory discipline.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Join a dynamic team and make a real impact in quantitative risk management.
- Qualifications: Strong Python programming skills and a solid foundation in econometrics required.
The predicted salary is between 48000 - 72000 £ per year.
Location: London, Hybrid
About the Company
Our client is a prominent global financial institution operating across multiple markets, offering investment banking, corporate banking and risk management services. Known for its strong regulatory discipline and commitment to innovation, the firm maintains robust infrastructure and technology teams that support critical quantitative, risk and analytics functions across its international operations.
Job Description
The Quantitative Analytics team within the investment banking division is seeking a skilled and motivated Credit Quant Developer to support a high‑priority migration of risk model code. This role focuses on quantitative risk (Market, Credit and Interest Rate Risk) rather than front‑office pricing, and plays a vital part in enhancing the stability and adaptability of the firm's credit banking book models. You will be responsible for translating and restructuring existing model components, primarily migrating code from R to Python - ensuring the newly implemented versions are efficient, well‑organised and maintainable. This role requires strong technical ability, excellent problem solving skills and a solid foundation in econometrics and time‑series methodologies.
Key Responsibilities:
- Lead the migration and translation of quantitative model code, focusing heavily on transitioning existing R models into Python.
- Develop and implement clean, logical and scalable code structures that can be easily adapted to evolving business and regulatory needs.
- Apply strong econometric knowledge to handle model challenges, identifying improved coding solutions when direct translation is not suitable.
- Work collaboratively within the Credit QA team to produce well‑documented, thoroughly tested and production‑ready model code.
Ideal Qualifications
- Strong programming ability in Python, including experience using GIT or similar version‑control tools.
- Solid understanding of econometrics, including foundational concepts such as linear regression, time‑series analysis and factor analysis.
- Experience working within the banking or broader financial services sector, ideally within a regulated environment.
- A critical, analytical mindset with the ability to review and challenge model behaviour and code quality.
Nice to have
- Familiarity with R / R‑Studio or the ability to comfortably interpret R code, which supports the migration process.
- Understanding of C++ for potential cross‑team collaboration.
- Exposure to quantitative risk domains including Market Risk, Credit Risk or Interest Rate Risk.
- Advanced econometric knowledge, such as experience with capital models, meta‑models or correlation modelling.
Quantitative Developer employer: Glocomms
At Glocomms, we pride ourselves on being an excellent employer by fostering a dynamic work culture that values innovation and collaboration. Our hybrid work model offers flexibility, allowing employees to balance their professional and personal lives while working on impactful projects for leading insurance clients. With ample opportunities for growth and development, we empower our team members to advance their careers in the exciting field of insurance technology.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Glocomms. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Glocomms.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Glocomms's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Glocomms
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Glocomms.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Glocomms will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Glocomms employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
