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  4. Quantitative Strategist (Exotics) | Tier 1 Hedge Fund - Front Office | London | £400k+ TC
Mondrian Alpha

Quantitative Strategist (Exotics) | Tier 1 Hedge Fund - Front Office | London | £400k+ TC

CompanyMondrian Alpha
Location
London Area, United Kingdom
Employment TypeFull-time
Posted At4/21/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (41.0%).
Occupation TypeActuaries, economists and statisticians
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£55,100 (£28.26 per hour)
Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Mondrian Alpha. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

My client, a leading UK investment platform with over £50bn+ AUM, is seeking a Quantitative Strategist to join its Front Office Strats team.


This role sits at the intersection of markets, advanced mathematics, and programming, working directly with traders and structuring teams on the pricing, execution, and risk management of complex assets and long-dated liabilities.


The team operates with an exotics-driven approach, applying rigorous derivatives pricing techniques across fixed income, securitised credit, and longevity-linked exposures.


Responsibilities

• Develop, implement, and enhance pricing and risk models for complex and often path-dependent instruments

• Partner closely with traders and structurers to analyse trades and asset origination opportunities

• Model embedded optionality and cashflow dynamics across fixed income, RMBS, ABS, and long-dated liabilities

• Contribute to the build-out of a next-generation pricing and risk platform

• Design and deliver robust, scalable quantitative tools for valuation, execution, and risk management

• Apply advanced financial mathematics to solve non-standard, real-world modelling problems

• Communicate complex quantitative concepts clearly across technical and commercial stakeholders


Requirements

• Strong academic background in a quantitative discipline (Mathematics, Physics, Engineering, Computer Science, etc.)

• Proven experience in derivatives pricing / quantitative modelling within a front-office or closely aligned environment

• Solid understanding of fixed income products and derivatives (Rates / Credit preferred)

• Exposure to structured or securitised products (RMBS, ABS) is advantageous

• Strong knowledge of financial mathematics and stochastic modelling techniques

• Strong proficiency in Python (NumPy, pandas, SQLAlchemy or similar), with ability to write clean, production-quality code

• Experience with C++ or Rust is advantageous but not required

• Commercial mindset, strong problem-solving ability, and a “get-things-done” attitude


Why Join

• Contribute to one of the largest technology transformations in UK financial services

• Work in a flat, delivery-focused environment alongside experienced quants, engineers, and business leaders

• See immediate impact — tools and models you build directly influence trading and investment decisions

• Access excellent benefits and on-site facilities, including a gym, café, and wellbeing allowance

• Join a stable, long-term platform combining the pace of a high-growth tech environment with strong institutional backing


Compensation

Highly competitive package with top performers earning £400k+ total compensation in year one, alongside market-leading benefits including a top-tier healthcare package, fully subsidised qualifications plus breakfast and lunch paid for each day.


To apply, either respond to this advert or send your CV directly to gala.santaballa@mondrian-alpha.com.