Quantitative Research Analyst

Job Description

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.

• 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.

PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws.

The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws.

PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at  and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online.

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