At a Glance
- Tasks: Support market data management and analytics across various asset classes.
- Company: Join ING, a global leader in financial services with a collaborative culture.
- Benefits: Competitive salary, work-life balance, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and diversity.
- Why this job: Make an impact in financial markets while developing your analytical skills.
- Qualifications: 1-3 years in market risk or related fields; knowledge of SQL/Python is a plus.
The predicted salary is between 28800 - 48000 £ per year.
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.
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: 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; 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: 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)
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.
Market Data Risk Analyst employer: ING
ING is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and a commitment to work-life balance, making it an ideal environment for those looking to advance their careers in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data Risk Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial markets and risk management sectors. Use platforms like LinkedIn to connect with people at ING or similar companies, and don’t hesitate to ask for informational interviews. It’s all about making those connections!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those involving SQL or Python. This will give you an edge during interviews, as you can demonstrate your hands-on experience with market data and analytics.
✨Tip Number 3
Prepare for the interview by brushing up on market risk metrics and financial products. Be ready to discuss how you would handle real-world scenarios related to market data governance and quality. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, keep an eye on our careers page for any new opportunities that match your skills and interests. We’re always looking for passionate individuals to join our team!
We think you need these skills to ace Market Data Risk Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Market Data Analyst role. Highlight any relevant experience in market risk, data analysis, or financial products to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about financial markets and how your background makes you a great fit for our team. Keep it concise but impactful.
Show Off Your Technical Skills:Since we're looking for someone with knowledge of SQL and Python, don’t forget to mention any projects or experiences where you've used these skills. We love seeing practical applications of your technical know-how!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at ING
✨Know Your Market Data
Make sure you brush up on your knowledge of market data sets and the technologies used in the industry. Familiarise yourself with SQL and Python, as well as any systems like Murex or Reuters that might come up during the interview.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with analysing large datasets and how you've applied statistical methods in previous roles. Be ready to provide examples of how you've contributed to data quality or governance in past positions.
✨Understand Risk Metrics
Get a solid grasp of key market risk metrics such as VaR and stressed VaR. Being able to explain these concepts clearly will demonstrate your understanding of the role and its responsibilities.
✨Communicate Clearly
Practice articulating your thoughts clearly and confidently. Since this role involves collaboration with various teams, showcasing your communication skills will be crucial. Think about how you can convey complex information simply and effectively.
