Department Overview The Market Data Analytics Team sits within Trade Risk Management (TRM), a global function of around 60 professionals supporting Financial Markets and Group Treasury. The team is responsible for the use, quality and governance of market data across TRM, supporting areas such as Market Risk, Product Control and Counterparty Credit Risk. This includes sourcing market data, applying transformations and proxies, and ensuring data is fit for risk reporting, analysis and regulatory requirements. The Role ING is looking for a Market Data Analyst to join the Market Data Analytics Team (MDAT). This role is well suited to an early‑career analyst (1–3 years’ experience) with a strong interest in financial markets, data and risk. You will support the management of market data across multiple asset classes, contribute to the development of analytics and dashboards, and help maintain high market data quality standards. Working closely with Risk, Trading, Model Validation and IT, you will play a key role in building a market data centre of excellence within TRM. Candidate Profile Education Minimum UK 2:1 degree (or international equivalent) in Finance or a quantitative discipline Desirable: Professional qualification or progress towards one (e.g. PRM, FRM) Experience & Knowledge 1–3 years’ experience within Market Risk, Product Control, or a closely related function in a large financial institution Desirable experience includes: Strong numerical, statistical or mathematical background Exposure to market data sets and supporting technologies Working knowledge of SQL and/or Python Basic understanding of financial products, asset classes and associated risks Awareness of market risk metrics (e.g. VaR, stressed VaR, IRC) Interest in risk governance, policies and regulation Familiarity with systems such as Murex, Summit, Reuters, ActivePivot (or similar platforms) Personal Attributes Results‑driven and delivery‑focused Proactive self‑starter, comfortable taking ownership Able to manage time effectively and work to deadlines Collaborative team player who supports colleagues Highly organised with strong attention to detail Clear and confident communicator (written and verbal) Fluent in English Key Responsibilities Support the development and maintenance of derived market data and proxy models across asset classes Analyse large datasets, data processes and supporting systems Help implement market data used for risk initiatives, regulatory change and strategic programmes Act as a point of contact for market data queries from stakeholders including Risk, Trading and Model Validation Work with global colleagues across the full data lifecycle: requirements, implementation, testing and release Partner with TRM teams to understand and deliver market data needs Support agile initiatives with IT developers and system support teams Assist in addressing market data‑related findings raised by Model Validation or internal reviews Why ING? ING’s purpose is ‘Empowering people to stay a step ahead in life and in business’. Every ING colleague is given the opportunity to contribute to that vision. We champion self-reliance and foster a collaborative and innovative culture. The Orange Code is our global manifesto for how we stay true to our purpose and our tradition of reinvention and empowerment. It is made up of ING Values (we are honest; we are prudent; we are responsible) and ING Behaviours: (you take it on and make it happen; you help others to be successful; you are always a step ahead) For us, success will only be achieved if we act with Integrity. Some companies see diversity as a box to be ticked. We see it as fundamental to our success and we encourage a proper work/life balance. At ING, you will be judged on your performance in line with the Orange Code. And that’s a promise. ING Privacy Statement In order to operate ING’s recruitment process, we will collect and store personal data you provide. Please request the privacy statement should you wish to understand how ING UK uses and protects this information and visit our website for more information.