Quantitative Research Analyst (Mortgages)

Location: London, United Kingdom

Company

hirify.global is a global active fixed-income investment manager operating across public and private markets.

What you will do

• Support the London front-office mortgages analytics trading team and assist Portfolio Managers with investment and asset management decisions.
• Develop new pricing models and implement them in Python.
• Design and maintain pricing and surveillance frameworks to automate and streamline quantitative tasks.
• Analyse RMBS and broader ABS markets across the UK, Netherlands, Spain, and Italy, covering liquid and illiquid opportunities.
• Model mortgage loans and cash flows, including collateral performance, recovery assumptions, and structural waterfalls.
• Develop approaches for pricing bespoke transaction features within complex securitised assets and private structures.

Requirements

• Master’s degree or PhD in mathematics, physics, probability/statistics, engineering, or mathematical finance.
• At least 3 years of relevant front-office quantitative experience at a leading sell-side or buy-side institution.
• Familiarity with mortgage products, asset-backed structured products, and Intex.
• Advanced knowledge of pricing techniques, including Monte Carlo, prepayment modelling, scenario engines, asset pricing theory, probability theory, and cash flow or bond mathematics such as OAS calculations.
• Strong professional Python development experience; familiarity with SAS, R, or Python statistical modelling packages.
• Working knowledge of Linux/Unix/Bash and SQL is advantageous.

Culture & Benefits

• High-performance and inclusive culture focused on Collaboration, Openness, Responsibility, and Excellence.
• Opportunity to work closely with Portfolio Managers and build relationships across the investment business.
• Exposure to complex mortgage credit, securitised assets, and private investment structures.
• Equal employment opportunity and reasonable accommodation are provided in accordance with applicable laws.