VP FX Options Quant – Pricing & Risk Lead

Santander; Greater London; On-site; GBP 120,000 - 190,000; Full time

Benefits offered by this job

Discretionary annual bonus

Pension 8% of salary

30 days holiday + 1

Private medical insurance

Life and disability cover

Job summary

Santander Corporate & Investment Banking (SCIB) seeks a Vice President, Quantitative Analyst for FX Options in London. You’ll join the FX Quants team, developing and extending pricing models and risk libraries, interfacing with traders and global offices to align modelling assumptions with trading realities.

We value strong C++ and Python programming, advanced mathematical training, and the ability to deliver robust, scalable solutions under pressure.

Qualifications

• Experience in a similar quantitative role.
• In-depth knowledge of Foreign Exchange products and valuation.
• Excellent C++ and Python programming.
• Higher qualification in a relevant mathematical degree.
• Strong problem solving and innovative thinking.
• Knowledge of options pricing theory and stochastic processes.
• Strong communication and interpersonal skills.
• Fluency in additional languages is a plus (Spanish).

Responsibilities

• Develop FX derivatives pricing models.
• Extend models to improve rate volatility risk.
• Design and implement pricing and risk libraries.
• Develop an efficient risk framework using advanced techniques.
• Design and extend APIs for pricing libraries.
• Develop and optimise algorithms.
• Refine quant framework and tools to high standards.
• Assist testing of libraries and tools.
• Provide mathematical documentation to stakeholders.
• Support Trading, Sales and Risk teams.

Skills

C++

Python

FX pricing

Quant models

Stochastic processes

Interpersonal skills

Education

Mathematics degree

PhD (nice to have)

Tools

Monte Carlo

PDE engine

Job description

Santander Corporate & Investment Banking (SCIB) seeks a Vice President, Quantitative Analyst for FX Options in London. You’ll join the FX Quants team, developing and extending pricing models and risk libraries, interfacing with traders and global offices to align modelling assumptions with trading realities.

We value strong C++ and Python programming, advanced mathematical training, and the ability to deliver robust, scalable solutions under pressure.