Quantitative Research Analyst
Quantitative Research Analyst

Quantitative Research Analyst

City of London Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data and develop pricing models to support investment decisions.
  • Company: Join PIMCO, a global leader in active fixed income with a diverse and inclusive culture.
  • Benefits: Competitive salary, professional development, and a collaborative work environment.
  • Why this job: Make an impact in finance while working with cutting-edge quantitative techniques.
  • Qualifications: Masters or PhD in relevant fields and strong Python coding skills required.
  • Other info: Exciting opportunities for growth in a dynamic and innovative team.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Quantitative Research Analyst

Join to apply for the Quantitative Research Analyst role at PIMCO

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.

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.

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.

Equal Employment Opportunity and Affiant Statement

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), 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.

Applicants with Disabilities

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, please contact us at 949‑720‑7744.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Research, Analyst, and Information Technology

Industries

Investment Management

Location

London, England, United Kingdom

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Quantitative Research Analyst employer: PIMCO

PIMCO is an exceptional employer that fosters a high-performance inclusive culture, celebrating diverse thinking and collaboration. Located in London, the firm offers its employees robust growth opportunities through continuous investment in their development, alongside a commitment to innovation in the financial sector. With a focus on teamwork and excellence, PIMCO provides a dynamic environment where quantitative analysts can thrive and contribute to meaningful projects in the expanding alternatives business.
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Contact Detail:

PIMCO Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Research Analyst

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at PIMCO. A friendly chat can open doors and give you insights that a job description just can't.

✨Tip Number 2

Prepare for interviews by brushing up on your technical skills. Be ready to discuss asset pricing theories and coding in Python. We want to see your analytical prowess in action!

✨Tip Number 3

Showcase your problem-solving skills. During interviews, share examples of how you've tackled complex quantitative challenges. This is your chance to shine and demonstrate your value!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the PIMCO team.

We think you need these skills to ace Quantitative Research Analyst

Data Analysis
Modelling
Pricing of Fundamental Risks
Relative Value Analysis
Post-Trade Surveillance
Python Programming
Asset Pricing Theory
Probability Theory
Cash Flow / Bond Maths
Quantitative Analytical Skills
Experience with Asset-Backed Structured Products
SQL
Linux/Unix/Bash Knowledge
Collaboration with Portfolio Managers

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Quantitative Research Analyst role. Highlight your technical expertise in asset pricing, Python coding, and any relevant experience in front office roles.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about quantitative analysis and how your background makes you a great fit for PIMCO. Be sure to mention specific projects or achievements that showcase your analytical skills.

Showcase Your Technical Skills: Since this role is highly technical, don’t shy away from detailing your proficiency in Python, data analysis, and any experience with asset-backed structured products. We want to see your coding skills shine!

Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves!

How to prepare for a job interview at PIMCO

✨Know Your Numbers

As a Quantitative Research Analyst, you’ll need to demonstrate your strong grasp of asset pricing and probability theory. Brush up on key concepts like CAPM and OAS calculations, and be ready to discuss how you’ve applied these in previous roles.

✨Showcase Your Coding Skills

Since proficiency in Python is crucial for this role, prepare to discuss your coding experience. Bring examples of pricing models you've developed or automated tasks you've streamlined, and be ready to tackle a coding challenge during the interview.

✨Understand the Business

Familiarise yourself with PIMCO’s alternatives business and the specific asset classes mentioned in the job description. Being able to discuss recent trends in asset-backed finance or consumer credit will show your genuine interest and understanding of the firm’s focus areas.

✨Build Relationships

The role requires collaboration with Portfolio Managers, so highlight your interpersonal skills. Prepare examples of how you’ve successfully worked in teams or built strong professional relationships in past positions, as this will be key to your success at PIMCO.

Quantitative Research Analyst
PIMCO
Location: City of London
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  • Quantitative Research Analyst

    City of London
    Full-Time
    36000 - 60000 ÂŁ / year (est.)
  • P

    PIMCO

    1000+
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