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EBRD

Analyst, Quantitative Risk Analytics

London
Posted about 16 hours ago
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Requisition ID
36903

Office Country
United Kingdom

Office City
London

Division
Risk Management

Contract Type
Regular

Contract Length

Posting End Date
23/07/2026

Purpose of Job:

Analyst, Quantitative Risk Analytics (QRA) is a quantitative specialist responsible for the application of mathematical, statistical and quantitative finance techniques to the measurement, analysis and monitoring of financial risks. The role requires a strong understanding of pricing models, financial markets, transactions, market data, exposure aggregation methodologies, quantitative risk measures and risk systems, together with the ability to interpret, challenge and assess the reliability of underlying models, assumptions and results.

Under the supervision of the Associate Director, the jobholder undertakes tasks, focused on market risk and/or credit risk methodologies, models, controls and processes.

In addition, the Analyst also contributes to the provision of management information and risk analysis of Banking & Treasury portfolios. The Analyst is accountable for reporting any outstanding data anomalies/process to ensure continuous data/systems integrity under the Internal Control Framework (ICF).

Accountabilities & Responsibilities:

Depending on the area of specialisation, Analyst, QRA is responsible for all or most of the following:

  • Produce credit, market or other relevant risk measures and interpretation of the results on a regular basis.
  • Participate in projects with guidance from Principal and/or Associate Director, with the aim of improving the Quantitative Risk & Analytics models, methodologies and analytics frameworks.
  • Participate in the in-house analytical and exotic pricing library implementation including new scenarios generation models, pricing functions, sensitivities calculation, risk aggregations, PD/LGD modelling.
  • Provide advisory pre-trading structuring, collateral mitigants and portfolio what-if analysis for Treasury and Banking. Perform portfolio incremental exposure, sensitivities calculation and liquidity haircut calibration.
  • Perform the regular market, liquidity and/or credit risks operational processes, including the ICF testing, valuation and perimeter reconciliation, market risk factors parameters estimation, backtesting and impacts analysis on the portfolio exposures.
  • Maintain the proprietary reporting layer and in-house Quantitative Risk Engine (QRE) analytics library including the configuration update, release testing, documentation, implementation to address any limitations and/or identified issues.
  • Assess and advise on the impact of proposed changes in Bank-wide policies on Risk Management methodologies, models and practices
  • Ensure the timely and accurate production of daily Risk batch including daily perimeter checks, Mark-to-Market (MtM) reconciliation controls, resolution of discrepancies, remediation plans to address any issues and continuous improvement of operational processes.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Knowledge, Skills, Experience & Qualifications:

  • Some relevant financial industry experience (typically an internship) from an investment or commercial bank, private equity, asset management firm or financial consulting firm operating to international standards.
  • Master's degree (or equivalent postgraduate qualification) in Quantitative Finance, Mathematics, Statistics, Physics, Engineering, Computer Science or another highly quantitative discipline.
  • Strong knowledge of mathematical finance, probability, statistics, stochastic modelling and numerical methods is essential.
  • Practical experience in the implementation or application of quantitative market and/or credit risk measurement methodologies, including areas such as PFE, XVA, VaR, Economic Capital or stress testing.
  • Good understanding of all major capital markets instruments across asset classes
  • Good understanding of industry best practices and awareness of regulatory developments in the field of credit and/or market risk.
  • Knowledge of industry practices and regulatory developments in the field of market and/or credit risk.
  • Strong programming skills in Python and C++. Experience in quantitative software development and implementation of financial models is highly desirable.
  • Knowledge of quantitative risk analytics, aggregation and reporting platforms (e.g. ActiveViam/Atoti), trading and risk management systems (e.g. Summit), and market data providers (e.g. Bloomberg) would be advantageous.
  • Knowledge of devOps, agile development and Git desirable.
  • Plans work well, establishes suitable priorities, anticipates problems and responds in a timely manner, meets deadlines.
  • Ability to communicate well at all levels, from senior management to portfolio managers/traders, risk managers, accountants, middle office and IT staff.
  • Ability to explain quantitative results and model outputs to both technical and non-technical audiences.
  • Ability to work to deadlines and under time pressure.
  • Understanding of software development lifecycle, version control and testing practices.
  • A positive attitude to problem solving, identifying solutions and finding ways to overcome obstacles, if need be, through compromise and consensus building.

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What is it like to work at the EBRD? / About EBRD

Our agile and innovative approach is what makes life at the EBRD a unique experience! You will be part of a pioneering and diverse international organisation, and use your talents to make a real difference to people's lives and help shape the future of the regions we invest in.

At EBRD, our Values – Inclusiveness, Innovation, Trust, and Responsibility – are at the heart of how we work. We bring these to life through our Workplace Behaviours: listening well and speaking up, collaborating smartly, acting decisively with full commitment, and simplifying to amplify our impact. These principles shape our culture and define our success. We seek individuals who not only share these values but are also committed to embedding them in their daily work, fostering a positive and high-performing environment.

The EBRD environment provides you with:

  • Varied, stimulating and engaging work that gives you an opportunity to interact with a wide range of experts in the financial, political, public and private sectors across the regions we invest in.
  • A working culture that embraces inclusion and celebrates diversity. Our workforce reflects a broad range of backgrounds, perspectives, and experiences, bringing fresh ideas, energy, and innovation and enhancing our ability to serve our clients, shareholders, and counterparties effectively.
  • A hybrid workplace that offers flexibility to teams and individuals; that is based on trust, flexibility and connectedness.
  • An environment that places sustainability, equality and digital transformation at the heart of what we do.
  • A workplace that prioritises employee wellbeing and provides a comprehensive suite of competitive benefits.

Diversity is one of the Bank’s core values which are at the heart of everything it does. As such, the EBRD seeks to ensure that everyone is treated with respect and given equal opportunities and works in an inclusive environment. The EBRD encourages all qualified candidates who are nationals of the EBRD member countries to apply regardless of their racial, ethnic, religious and cultural background, gender, gender identity, sexual orientation, age, socio-economic background or disability.

Please note, that due to the high volume of applications received, we regret to inform you that we are unable to provide detailed feedback to candidates who have not been shortlisted (for further consideration).

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Skills

Quantitative Finance
Python
C++
Stochastic Modelling
Market Risk
Credit Risk
Numerical Methods
Probability
Statistics
Financial Modelling
XVA
VaR
PFE
Economic Capital
Stress Testing
Risk Aggregation

Location

London, England, United Kingdom

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