At a Glance
- Tasks: Evaluate and onboard market data for innovative financial products.
- Company: Join ISS STOXX, a leader in financial market research and technology.
- Benefits: Enjoy a supportive culture with opportunities for personal and professional growth.
- Other info: Collaborative environment with diverse perspectives and excellent career advancement opportunities.
- Why this job: Make an impact in finance while working with cutting-edge data analytics.
- Qualifications: Degree in Finance or Mathematics; experience in data management and analysis.
The predicted salary is between 49500 - 60500 £ per year.
At ISS STOXX LiquidMetrix, our workforce is the driving force behind our success. We prioritize attracting and nurturing top talent within our industry, providing them with the tools, support, and opportunities necessary to flourish in their careers, while also prioritizing their health, financial stability, and personal growth.
We are hiring for a Market Data Analyst to join the team in London. In this role, you will help evaluate and onboard cross-asset class data feeds for our Venue Analytics, Transaction Cost Analysis (TCA) and Trade Surveillance products. As a specialist in market data, you will work closely with expert Product Data and Development teams to deliver project Proof of Concepts (POCs) that help guide project roadmaps and enrich the Product offering for our clients – Investment banks, Brokers, Wealth / Asset Managers and Exchanges.
This is a fantastic opportunity to work closely across multiple teams (including c-suite), develop expertise in multiple facets of market data and venue & execution analytics and work with cutting edge products in a fast-paced environment.
Key Responsibilities
- Market Data Expansion
- Develop global market data and referential data coverage:
- Working with teams to onboard new market venues to the platform, including Fixed Income, Derivatives, Equities/ETFs, FX and Crypto
- Maintenance and enrichment of an extensive reference database, covering global cross-asset market metadata, instrument listings and company fundamentals
- Help evolve data QA procedures to deliver high-quality, robust information to downstream applications
- Work with the Application Support team to recover from data delivery and processing issues
- Feed Management
- Liaise with vendor network to help identify mandatory feed changes and the required implementation plan for existing feeds
- Research upcoming market microstructure changes and help produce models on how the business can benefit
- Undertake analyses of data and construct accurate and insightful reporting
- Provide clear lines of communication to stakeholders on feed projects and product development
- Analytics & Support
- Understand and help develop deeper analytics across asset classes, including differing approaches to TCA and instrument-level performance measurements
- Respond to client requests for new market coverage
What you bring to ISS STOXX
The ideal candidate will be highly motivated, with the ability to work effectively as part of a team or individually. Experienced in data management and analysis, they will be calm under pressure and have excellent prioritisation skills:
- Minimum 3 years’ experience
- Educated to degree level in Finance, Mathematics or similar Quantitative discipline
- Proven experience working with financial market data and/or referential data and an interest in further developing a career in Finance
- Ability to work with, manipulate and analyse large datasets (such as Level 2 and Level 3 orderbook data)
- Highly proficient with Microsoft Excel, including macros, pivot tables, functions & charts. Experience with analytical tools, such as PowerBI, Tableau, Jupyter etc, as well as Rest APIs is desirable.
- Scripting: SQL (intermediate as a minimum), Python. Experience in object-oriented programming a bonus
- Excellent analytical skills and an ability to understand technically complex problems
- Good communication and written skills, and the ability to build strong professional relationships at all levels, with both internal and external parties
- Proven ability to work well under pressure and adapt to changing priorities and complex challenges
- An understanding of data modelling techniques (both supervised and unsupervised), applying goodness-of-fit measures and AI highly desirable
What You Can Expect from Us
At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally.
Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success.
Let’s empower, collaborate, and inspire.
Market Data Analyst in London employer: ISS Corporate Solutions
At ISS STOXX, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters creativity and innovation. Our London office provides employees with ample opportunities for professional growth, access to cutting-edge technology, and a supportive environment that prioritises health and financial stability. Join us to collaborate with industry experts and contribute to impactful projects in the financial market sector.
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We think this is how you could land Market Data Analyst in London
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We think you need these skills to ace Market Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
