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For Companies At a Glance
- Tasks: Analyse market data and support risk management initiatives 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.
- Why this job: Make an impact in financial markets while developing your analytical skills.
- Qualifications: Degree in Finance or quantitative discipline; experience in market risk is a plus.
- Other info: Dynamic team environment with a focus on innovation and diversity.
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
- 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)
- 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
- Analyze 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 Analyst employer: ING Group
Contact Detail:
ING Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial markets and data analytics space. 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 can be a game-changer during interviews, as it gives you a chance to demonstrate your expertise and passion for market data.
✨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. This shows you’re not just knowledgeable but also proactive about the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining ING and being part of our collaborative culture.
We think you need these skills to ace Market Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Market Data Analyst role. Highlight your experience in market risk, data analysis, and any relevant technologies like SQL or Python. We want to see how your skills match what we're looking for!
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 – we love a good story!
Show Off Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Mention specific projects or experiences where you've worked with large datasets or developed analytics. We’re keen on seeing how you approach problem-solving!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at ING Group
✨Know Your Numbers
As a Market Data Analyst, you'll be dealing with a lot of numerical data. Brush up on your statistical knowledge and be ready to discuss key metrics like VaR and stressed VaR. Show that you understand how these metrics apply to market risk and can articulate their importance.
✨Get Familiar with SQL and Python
Since the role requires working knowledge of SQL and Python, make sure you can talk about your experience with these technologies. Prepare to discuss any projects where you've used them to analyse data or build models. If you have examples of dashboards or analytics you've developed, bring those along!
✨Understand the Financial Landscape
Demonstrate your interest in financial markets by staying updated on current trends and news. Be prepared to discuss different asset classes and their associated risks. This will show your passion for the field and your readiness to contribute to the team.
✨Showcase Your Collaborative Spirit
ING values teamwork, so be ready to share examples of how you've worked collaboratively in the past. Highlight situations where you've supported colleagues or contributed to group projects. This will help convey that you're a proactive self-starter who thrives in a team environment.