At a Glance
- Tasks: Join our team to analyse data and support investment decisions in a dynamic trading environment.
- Company: PIMCO, a leading firm in the alternatives business with a focus on growth.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional development.
- Other info: Work in a diverse team with excellent career advancement opportunities.
- Why this job: Make an impact in finance by developing innovative pricing models and collaborating with experts.
- Qualifications: Masters or PhD in relevant fields and strong Python coding skills required.
The predicted salary is between 60000 - 80000 £ per year.
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 analytics team to support this expansion and assist Portfolio Managers in their investment and asset management decisions.
The London team covers a variety of asset classes, for US, Europe, and Asia, with a focus on asset-backed finance (ABF), performing and non-performing loans, SRTs, unsecured lending, and consumer credit asset classes. The focus of the role will be to perform initial value deal assessments via data analysis, modelling and pricing of fundamental risks, and relative value (across capital structures and asset classes) analyses. Post-trade support is also a fundamental consideration where we monitor and report on collateral and trade performance (surveillance).
The chosen candidate will be highly technical and have a good understanding of asset pricing (including risk neutral, CAPM) theory, probability theory, and experience with key asset classes (namely asset-backed, credit, and/or rates). 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.
Requirements
- Masters degree or PhD in Mathematics, Physics (non-experimental), Probability/Statistics, Engineering, or (Mathematical) Finance.
- Familiarity with asset-backed structured products, Intex and data analysis or empirical modelling is a strong plus.
- 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, 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.
- Experience with structuring / liability-side (e.g. SPV mechanics) aspects of finance a big plus.
- Working knowledge of Linux/Unix/Bash and SQL would be a plus.
Quantitative Research Analyst in London employer: Dormont Manufacturing Co
PIMCO is an exceptional employer that fosters a dynamic and inclusive work culture, particularly within its London front office trading analytics team. Employees benefit from a collaborative environment that encourages professional growth through exposure to diverse asset classes and innovative quantitative methodologies, while also enjoying the vibrancy of London as a global financial hub.
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