At a Glance
- Tasks: Build and maintain credit datasets, ensuring data integrity and extending pricing capabilities.
- Company: Dynamic London-based alternative investment manager focused on innovative strategies.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Ideal for those seeking broader ownership in a fast-paced financial environment.
- Why this job: Join a hands-on role at the intersection of data engineering and quantitative analysis.
- Qualifications: Experience with credit datasets, strong programming skills, and a degree in a quantitative field.
The predicted salary is between 59400 - 72600 £ per year.
Referment is working with a London-based alternative investment manager that runs fixed income, macro and systematic strategies for institutional investors.
Its credit business is strengthening the foundational data and product infrastructure behind its pricing and risk analytics, and this role sits at the intersection of data engineering and quantitative structuring.
You will own the integrity of the core credit datasets while extending pricing capability into products the desk cannot yet cover cleanly.
It is a hands-on mandate, best suited to someone who has built and operated credit data infrastructure in a live production environment rather than only consumed it for research.
The Role
- Build and maintain the historical dataset across all credit products, covering index rolls, defaults and recoveries, and corporate actions.
- Reconcile data across multiple sources and dealer marks so the dataset stays consistent and accurate.
- Operate the credit dataset as a live pipeline, owning day-to-day quality of both raw inputs and derived risk analytics.
- Build pricers and spread construction where coverage is limited, including credit ETFs and total return swaps, with the rates component cleanly separated from the credit return.
- Extend coverage to credit tranches, clean single-name CDS curves and cash bonds mapped to the CDS universe, with scope to add credit futures and total return swaps on ETFs.
- What We’re Looking For
- Proven experience building and maintaining point-in-time credit datasets through actual credit events and index rolls.
- Experience producing ETF total-return series with the rates leg separated from the credit return.
- A strong grasp of CDS option and/or tranche pricing models, even if you would not build them from scratch.
- Comfort working across multiple data vendors and dealer sources, with strong reconciliation and data-quality instincts.
- Solid programming skills in Python or similar for pricing and data pipeline tools.
- A degree in a quantitative discipline.
This could suit a quantitative developer, credit quant or data engineer who has worked on credit or fixed income data platforms and wants broader ownership of both the data and pricing stack.
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Credit Quantitative Analyst (CBBC369) in London employer: Referment
Referment is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Finance Director, you will not only lead the finance function but also play a pivotal role in shaping the company's growth trajectory, with ample opportunities for professional development and advancement. Located in a vibrant B2B technology hub, the company provides a supportive environment where your contributions are valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Quantitative Analyst (CBBC369) in London
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We think you need these skills to ace Credit Quantitative Analyst (CBBC369) in London
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 Referment.
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 Referment'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 Referment
✨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 Referment.
✨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 Referment 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 Referment 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.
