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For Companies At a Glance
- Tasks: Support market data management and develop analytics for financial risk reporting.
- 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 skills in a dynamic environment.
- Qualifications: Degree in Finance or quantitative discipline; experience in market risk is a plus.
- Other info: Be part of a diverse team that values integrity and innovation.
The predicted salary is between 36000 - 60000 ÂŁ 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 earlyâcareer analyst (1â3 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: 1â3 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).
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 dataârelated 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 in London employer: ING Group
Contact Detail:
ING Group Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Market Data Risk Analyst in London
â¨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 donât hesitate to ask for informational interviews. Itâs all about making those connections!
â¨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since youâll be dealing with market data, make sure youâre comfortable discussing SQL, Python, and any relevant financial metrics. Practice explaining complex concepts in simple terms â it shows you really understand your stuff!
â¨Tip Number 3
Show your passion for the role! When you get the chance to chat with recruiters or during interviews, share your enthusiasm for market data and risk analysis. Talk about any projects or experiences that sparked your interest in financial markets â itâll help you stand out!
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, you can keep an eye on new openings and updates directly from us. Letâs get you that Market Data Risk Analyst role!
We think you need these skills to ace Market Data Risk Analyst in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Market Data Risk 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!
Showcase Your Technical Skills: Since this role involves working with SQL and Python, donât forget to mention any relevant projects or experiences where you've used these skills. We love seeing practical examples of your technical prowess!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets into the right hands and shows us youâre serious about joining our team!
How to prepare for a job interview at ING Group
â¨Know Your Numbers
As a Market Data Risk Analyst, you'll be dealing with a lot of numerical data. Brush up on your understanding of key metrics like VaR and stressed VaR. Be ready to discuss how you've used these in past roles or projects, as this will show your familiarity with the financial products and risks involved.
â¨Showcase Your Technical Skills
Make sure you highlight your experience with SQL and Python during the interview. Prepare examples of how you've used these tools to analyse data or improve processes. This will demonstrate your technical proficiency and your ability to contribute to the analytics and dashboard development.
â¨Understand the Bigger Picture
Familiarise yourself with the role of market data in risk management and regulatory requirements. Be prepared to discuss how effective data governance can impact decision-making in financial markets. This shows that youâre not just focused on the numbers but also understand their implications.
â¨Be a Team Player
ING values collaboration, so be ready to share examples of how you've worked effectively in teams. Discuss how youâve supported colleagues or contributed to group projects, especially in high-pressure situations. This will highlight your ability to fit into their culture and work collaboratively across departments.
