At a Glance
- Tasks: Join our team to analyse mortgage markets and develop innovative pricing models.
- Company: PIMCO, a global leader in active fixed income with a diverse and inclusive culture.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Dynamic role with significant exposure to complex financial products and career growth opportunities.
- Why this job: Make an impact in the expanding alternatives business and work with top Portfolio Managers.
- Qualifications: Masters or PhD in relevant fields and strong Python coding skills required.
The predicted salary is between 50000 - 70000 £ per year.
PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients’ capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world’s largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns.
Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients.
The alternatives business at PIMCO continues to expand its fund offerings and remains a key growth area for the firm. We are seeking a quantitative analyst / desk quant to join our London front office trading mortgages analytics team to support this expansion and assist Portfolio Managers in their investment and asset management decisions.
The chosen candidate will be highly technical and have a good understanding of mortgage analytics / modelling. Ideally you will have a front office quant (sell or buy side) background and be proficient in developing new pricing models and implementing into Python code. An ability to develop new approaches to pricing bespoke transaction features is important, as is experience with working with, and contributing to, large coding infrastructures. Ability to work closely with Portfolio Managers and build strong relationships is highly desirable.
RESPONSIBILITIES- Coverage includes RMBS and broader ABS markets across core and peripheral Europe (UK, Netherlands, Spain, Italy), spanning both liquid and illiquid opportunities.
- Focus on non-agency and complex structures, including mezzanine/equity tranches and legacy dislocated securitized assets.
- Significant exposure to non-performing and re-performing loan (NPL/RPL) securitizations and whole loan portfolios within private structures.
- Emphasis on loan-level and cashflow modelling across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls.
- Masters degree or PhD in Mathematics, Physics (non-experimental), Probability/Statistics, Engineering, or (Mathematical) Finance.
- Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset-backed structured products.
- Minimum of 3 years of relevant professional experience at a top sell-side or buy-side institution in a front office quantitative role.
- Exceptional quant / analytical skills – knowledge of advanced pricing techniques (Monte Carlo, prepayment modelling and scenario engines), asset pricing theory, probability theory, and cash flow / bond maths (e.g. OAS calculations).
- Experience designing, coding, and implementing pricing and surveillance frameworks for automation / streamlining of tasks.
- Strong coding skills in Python – candidates for whom Python experience is limited to occasional / hobby usage should not apply.
- Familiar with statistical coding packages and modelling in SAS, R or Python.
- Working knowledge of Linux/Unix/Bash and SQL would be a plus.
Quantitative Research Analyst, Mortgages in London employer: PIMCO
PIMCO is an exceptional employer, offering a dynamic and inclusive work culture that prioritises collaboration and innovation. Located in London, our team thrives on diverse thinking and provides ample opportunities for professional growth, particularly in the expanding alternatives business. With a commitment to excellence and a focus on employee development, PIMCO empowers its staff to succeed while navigating complex debt markets.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Research Analyst, Mortgages in London
✨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.
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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 PIMCO. 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 Research Analyst, Mortgages 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 PIMCO.
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 PIMCO'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 PIMCO
✨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 PIMCO.
✨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 PIMCO 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 PIMCO 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.
