Analyst, Quantitative Analysis

Job Description

The Analyst, Quantitative Analysis, is a technical specialist responsible for the valuation and risk oversight of derivatives and sophisticated financial instruments. You will join the Treasury Quantitative Analytics Group (“TAG”), performing high-level tasks that include xVA modeling and the design of pricing libraries. A significant portion of the role involves hands-on engineering, specifically implementing and maintaining core pricing tools and libraries developed in C++ .

TAG acts as the quantitative backbone for the Treasury, overseeing the validation and maintenance of models for structured products and portfolio management. You will work in a cross-functional capacity, collaborating with Risk Management, Accounting, and Banking departments to ensure the Bank’s quantitative infrastructure remains mathematically sound and technologically advanced.

Accountabilities & Responsibilities:

• Contribute to the internal pricing library using C++, Python, and SQL .

• Oversee the evolution of TAG-analytics Excel Add-ins (DLL/XLL).

• Support and enhance Phoenix , the Bank’s Django-based web reporting framework.

• Engineer market data infrastructure and streamline automation for data “feeding.”

• Design and deploy analytical tools for various asset classes, including interest rates, FX, commodities, equities, credit, and hybrids.

• Build and maintain custom applications that serve as primary decision-making tools for the Treasury.

• Develop pricing templates in third-party valuation systems to provide consistent data across Front, Middle, and Back Office.

• Provide independent technical opinions on quantitative issues and evaluate external risk management systems.

• Partner with portfolio managers and traders to analyze new instrument types and recommend modeling methodologies.

Requirements:

• Education: Advanced degree in Mathematics, Statistics, Physics, Engineering, or a related quantitative field.

• Technical Mastery: Expertise in stochastic calculus, numerical methods, and option theory applications.

• Experience: Previous professional history within a financial institution.

• Asset Knowledge: Deep understanding of interest rates, FX, equity, and credit derivatives.

• Risk Knowledge: Proficiency in VaR, sensitivities, and xVAs (CVA/DVA/FVA).

• Programming: Expert level C++ and Python ; Experience with DLL/XLL development and QuantLib . Familiarity with VBA, SQL, JSON, and Git is preferred.

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Job Data Table

Category	Details
Company Name	European Bank for Reconstruction and Development (EBRD)
Location	London, United Kingdom
Locality	London (EBRD HQ)
Country	United Kingdom
City	London
Region	Europe
Job Type	Full-time
Salaries	Competitive (Expatriate/International Grade)
Experience Level	Intermediate / Specialist
Travel	Minimal
Language	English (Fluent)
Benefits	Hybrid work, sustainability focus, comprehensive wellness & medical

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Skills & Competency Table

Key Skill	Level
C++ Programming	Expert
Python (Django)	Advanced
Stochastic Calculus	Expert
Derivative Pricing (xVA)	Expert
QuantLib Library	Advanced
Risk Management (VaR/Sensitivities)	Expert

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Salaries Pay Calculator Table

Annual Salary (Base)	Bonus/Benefits (Est.)	Total Compensation	Notes
£65,000	£15,000	£80,000	Typical for a mid-level Quant Analyst at IGOs.
£85,000	£20,000	£105,000	Median for experienced Quants in London banking.
£110,000	£30,000+	£140,000+	Upper range for senior specialists with C++ mastery.

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Job Summary

This role at EBRD focuses on the technical valuation and risk management of complex financial derivatives. You will design and maintain C++ pricing libraries, develop Django reporting tools, and advise traders on modeling methodologies. Requires an advanced quantitative degree, proficiency in QuantLib, and a strong grasp of stochastic calculus.

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5 FAQs

• What programming languages ​​are most important? C++ and Python are essential, with a specific focus on DLL/XLL development and Django for web reporting.

• What are “xVAs”? These are Valuation Adjustments (like CVA or FVA) that account for credit risk and funding costs in derivative pricing.

• Does EBRD offer flexible work? Yes, the Bank operates a hybrid workplace based on trust and connectedness.

• What is the “Phoenix” framework? It is an internal Django-based web reporting framework used for Treasury analytics.

• Who will I work with? You will collaborate with Treasury portfolio managers, traders, and colleagues in Risk and Accounting.

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Expert Analysis

In 2026, the transition of Interbank Offered Rates (IBOR) and the focus on Climate-Linked Derivatives are central to EBRD’s mandate. Quants at EBRD must move beyond standard Black-Scholes models towards Multi-Curve Frameworks and ESG-integrated risk models. Mastering C++ remains a “hard” requirement for low-latency pricing in London’s competitive financial hub.

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Location & Logistics Guide

EBRD is headquartered in London, specifically at Five Bank Street in Canary Wharf . This location is the heart of the UK’s financial services, offering world-class transit via the Elizabeth Line and Jubilee Line. The role supports a hybrid model, balancing high-stakes office collaboration with remote flexibility. Wikipedia URL:https://en.wikipedia.org/wiki/London

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Career Path

A Quantitative Analyst at EBRD can advance to Senior Quant , Head of Quantitative Analytics , or transition into Portfolio Management . Given EBRD’s status as an International Governmental Organization (IGO), successful analysts are also well-positioned for roles at the World Bank, IMF, or Tier-1 investment banks in the City.