Quant Risk Analytics Intern – Build Models & Automation

Purpose of Job

Under the supervision of the Principal and/or Associate Director, Quantitative Risk Analytics (QRA), the prospective intern will focus on specific quantitative risk modelling and development projects. The intern will be responsible for the automation of some of the team’s credit and market risks processes and will participate in the implementation of the in‑house Quantitative Risk Engine (QRE). The internship provides hands‑on exposure to quantitative risk management activities across market, credit and liquidity risk disciplines. Depending on business priorities and individual performance, the intern may support the production of risk measures, development of risk analytics, process automation initiatives and implementation of quantitative methodologies used by the Bank.

No prior professional experience is required; however, candidates are expected to demonstrate strong quantitative and programming skills in a risk modelling context, with pricing financial instruments, statistical estimation and optimization methods. The successful candidate will be expected to progressively assume responsibility for specific quantitative analyses, automation initiatives and risk management processes under the guidance of the QRA team. High‑performing interns may have the opportunity to contribute to strategic quantitative risk initiatives and gain experience across multiple risk disciplines.

Accountabilities & Responsibilities

• Contribute to the implementation of quantitative methodologies on derivatives pricing, risk factor calibration and simulation, market data processing and portfolio analytics and reporting.
• Support the development, testing and maintenance of quantitative risk models and analytical tools.
• Assist with automation and enhancement of market, credit and liquidity risk processes.
• Contribute to data analysis, quality controls and production activities supporting risk measurement and reporting.
• Participate in the development and testing of the Quantitative Risk Engine (QRE) and associated analytics infrastructure.

Knowledge, Skills, Experience & Qualifications

• Master’s degree (or currently completing a Master’s degree) in Quantitative Finance, Mathematics, Statistics, Physics, Engineering, Computer Science or another highly quantitative discipline.
• Strong quantitative, analytical and programming skills.
• Ability to explain complex quantitative concepts in an accessible way and proven English language drafting skills.
• Familiarity with options pricing theory, stochastic processes, Monte Carlo simulation, optimization methods and statistical estimation.
• Basic understanding of major capital markets instruments across asset classes, notably with respect to derivatives (including credit derivatives and hybrids).
• Demonstrated programming ability in Python and/or C++ through academic projects, internships or research assignments. Familiarity with SQL would be advantageous.
• Familiarity with software development practices, version control systems (e.g. Git) and testing methodologies would be advantageous.
• Exposure to data analytics, reporting or quantitative risk platforms would be advantageous.

Competencies & Personal Attributes

• Ability to analyse large datasets and investigate anomalies using quantitative and statistical techniques.
• Ability to work to deadlines and under time pressure.
• Attracted to the multicultural environment of EBRD as well as to the mission of the Bank with its challenges and opportunities.

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.