Rodeo
ResourcesPartnersSign in

PIMCO

Quantitative Research Analyst, Mortgages

London
Posted 1 day ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

Quantitative Research Analyst, Mortgages

Quantitative Analyst / Desk Quant – RMBS & ABS Analytics

PIMCO, the world’s leading active fixed income investment manager, is seeking a Quantitative Analyst to join our London-based front office trading mortgages analytics team in the Alternatives business. This role supports an expanding portfolio of fund offerings and plays a critical role in assisting Portfolio Managers with investment and asset management decisions.


About the Role

PIMCO’s alternatives business continues to grow, expanding its product offerings across non-traditional fixed income opportunities. This technical front office role requires a senior quantitative analyst with deep expertise in mortgage analytics and modelling, particularly in RMBS and ABS (Residential & Asset-Backed Securities). You will develop and implement new pricing models, analyse complex structures, and build strong collaborative relationships within the team.

The ideal candidate will have 3+ years in a quantitative front office role (either sell or buy side), with Python proficiency, a strong quantitative finance background, and hands-on experience in Monte Carlo pricing and pre-payment modelling. Technical expertise in loan-level modelling, discount rates, and cash flow assessment is essential.


Key Responsibilities

Coverage & Focus Areas:

  • RMBS and broader ABS markets, including core and peripheral Europe (UK, Netherlands, Spain, Italy)
  • Concentration on non-agency structures, including mezzanine/equity tranches and legacy securitized products
  • Significant exposure to NPL/RPL securitizations and whole loan portfolios in private structures
  • Loan-level and cash flow modelling, covering structural waterfalls, collateral analysis, and recovery assumptions in illiquid mortgage credit

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.


Requirements

Education & Professional Experience

  • Masters degree or PhD in Mathematics, Physics (non-experimental), Probability/Statistics, Engineering, or (Mathematical) Finance
  • Minimum of 3 years in a front-office quantitative role at a top-tier investment firm (sell or buy side)
  • Strong familiarity with mortgage products, including Intra-day trading execution and data analysis

Technical & Analytical Skills

  • Exceptional quantitative & analytical acumen, including expertise in:
    • Advanced pricing techniques (Monte Carlo, pre-payment modelling engines, scenario analysis)
    • Asset pricing theory, probability theory, cash flow mathematics (e.g., OAS calculations)
    • Statistical coding (SAS, R, or Python)
  • Proficiency in Python, with proven experience implementing custom data frameworks and automated trading/monitoring systems
  • Experience designing and deploying pricing surveillance frameworks for efficiency and automation
  • Familiarity with Linux/Unix, Bash scripting, and SQL as a plus

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

Collaborative & Soft Skills

  • Ability to develop strong relationships with Portfolio Managers, CIOs, and head offices
  • Comfortable working across buy-side and sell-side clients, communicating on both structural and transactional risks

PIMCO Culture & Commitment to Diversity

Since 1971, PIMCO has built its reputation on an inclusive, high-performance culture embedded in its CORE values:

  • Collaboration
  • Openness
  • Responsibility
  • Excellence

We foster diverse thinking, uphold rigorous integrity, and prioritise equal employment opportunity for all qualifying applicants.


Equal Opportunity & Reasonable Accommodations

PIMCO is committed to diversity and inclusion and affirms equal opportunity for all applicants without regard to:

  • Race, ethnicity, gender identity, religion, age, disability, sexual orientation, or lifespan stage
  • Military/veteran status
  • Medical condition or marital status

Disabled Candidates:

We provide reasonable accommodation for qualified individuals during the application process. If you require assistance, please contact 949-720-7744 for a dedicated line. Responses will be processed within 2 business days. This service is for application support only.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Mortgage Analytics
Python
Pricing Models
RMBS
ABS
Cashflow Modelling
Monte Carlo
Prepayment Modelling
OAS Calculations
SQL
Linux/Unix/Bash
Intex
Probability Theory
Asset Pricing Theory
Data Analysis
Empirical Modelling

Location

London, England, United Kingdom

Sign up to applySee more jobs like this