Job Description

Role Overview

Our partner, a premier organization in the financial and banking industry, is seeking a seasoned Senior Quantitative Analyst for their high-level team in a completely remote capacity. This role is perfectly suited for a mathematically talented and analytical expert who excels at solving intricate puzzles within a shifting financial environment. You will serve a pivotal function in the creation, execution, and upkeep of advanced risk frameworks that support the organization’s regulatory adherence and strategic choices. This position offers the chance to engage with massive data collections and cutting-edge techniques while cooperating with top-tier financial risk specialists from your home office.

Key Responsibilities

Engineer, verify, and deploy mathematical frameworks for operational, liquidity, credit, and market risk.
Apply sophisticated machine learning methods, stochastic calculus, and statistical strategies to build and refine models.
Conduct thorough sensitivity evaluations and back-testing on active models to guarantee stability and precision.
Assist in the architectural design and deployment of risk policies and management structures.
Convert intricate mathematical data into practical intelligence and transparent guidance for senior leadership and business partners.
Verify that every model aligns with internal governance protocols and international regulations like the Basel Accords and FRTB.
Partner with technology departments to integrate models into live systems and assist in persistent oversight.
Keep current with evolving risks, regulatory updates, and industrial standards regarding quantitative risk oversight.
Provide guidance to less experienced analysts while enhancing the collective technical proficiency and knowledge of the unit.
Participate in the research and creation of inventive quantitative strategies to solve changing business hurdles.

Qualifications and Experience

A Ph.D. or Master’s degree in a mathematical field such as Statistics, Economics, Physics, Mathematics, or Financial Engineering.
At least 6 years of applicable history in risk oversight or quantitative finance within the financial services or banking sector.
Demonstrated skill in constructing and launching machine learning and statistical models for assessing financial risk.
Advanced coding capabilities in Python (utilizing scikit-learn, Pandas, SciPy, and NumPy), C++, Java, or R.
Mastery of SQL and significant experience handling substantial financial data repositories.
Deep understanding of regulatory systems (Basel III/IV, FRTB) along with financial instruments and markets.
High-level critical thinking, problem-solving, and analytical expertise.
Superior presentation and communication abilities, capable of explaining difficult quantitative ideas to technical and non-technical groups.
Proven track record of working successfully and autonomously in a remote setting, handling tasks under stress.
Background with big data tools like Hadoop or Spark is considered an advantage.

Job Data Table

Category	Details
Company Name	WhatJobs Direct (on behalf of a Banking Institution)
Location	Norwich, United Kingdom
Locality	Fully Remote
Country	United Kingdom
City	Norwich
Region	East of England
Job Type	Full-time
Salaries	Competitive (Based on 6+ years experience)
Experience Level	Senior (Minimum 6 years)
Travel	None (Remote)
Language	English
Benefits	Full remote flexibility, professional growth support, intellectually stimulating environment

Skills & Competency Table

Key Skill	Level
Python (NumPy, Pandas, scikit-learn)	Expert
Risk Modeling (Credit, Market, Liquidity)	Expert
Stochastic Calculus	Advanced
Machine Learning Algorithms	Advanced
Regulatory Frameworks (Basel III/IV, FRTB)	Expert
SQL & Big Data (Spark/Hadoop)	Advanced

Salaries Pay Calculator Table

Annual Salary	Bonus	Total Compensation	Notes
£85,000	£8,500	£93,500	Estimated base for Senior Quant in Norwich region.
£105,000	£15,750	£120,750	Median for 6+ years experience in Tier-1 banking.
£130,000	£26,000	£156,000	Upper-tier for Ph.D. holders with niche FRTB expertise.

Job Summary

This Senior Quantitative Analyst position is a 100% remote role for a major bank. You will develop and validate complex risk models (Credit, Market, Operational) using Python, R, and Machine Learning. The role requires a Master’s/Ph.D. and 6+ years of experience ensuring compliance with Basel and FRTB standards.

5 FAQs

Is this role strictly remote? Yes, the position is offered on a fully remote basis within the UK.
Which programming languages are required? Python is a priority, but proficiency in R, C++, or Java is also highly valued.
What specific regulations will I work with? You will ensure models comply with Basel III/IV and FRTB requirements.
Does the role involve leadership? Yes, you will mentor junior analysts and contribute to the team’s technical knowledge.
Is an advanced degree mandatory? Yes, the client requires a Master’s degree or a Ph.D. in a quantitative field.

Expert Analysis

In 2026, the transition from Basel III to Basel IV makes this role critical. The emphasis on FRTB (Fundamental Review of the Trading Book) requires quants who can bridge the gap between stochastic calculus and big data implementation. Success in this remote position relies on mastering Python-based sensitivity analysis within a cloud-first infrastructure.

Location & Logistics Guide

While the role is remote, the client is associated with Norwich, a historic city in Norfolk. Norwich is a significant hub for the UK insurance and financial sectors. Remote employees benefit from the city’s lower cost of living compared to London while maintaining high-tier professional connections. Wikipedia URL:https://en.wikipedia.org/wiki/Norwich

Career Path

A Senior Quantitative Analyst typically progresses to Lead Quant , Head of Risk Modeling , or Chief Risk Officer (CRO) . Given the heavy focus on Machine Learning and Big Data in this role, one could also pivot into AI Research or Quantitative Portfolio Management within the broader financial sector.

To apply for this job please visit uk.whatjobs.com.