At a Glance
- Tasks: Analyse market data, solve puzzles, and build automated processes for bond and loan pricing.
- Company: Cognitive Credit, a cutting-edge financial technology firm.
- Benefits: Competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and data integrity.
- Why this job: Join a dynamic team and make a real impact in the financial tech space.
- Qualifications: Experience in pricing analysis, strong analytical skills, and familiarity with bond data.
The predicted salary is between 49500 - 60500 £ per year.
Cognitive Credit is expanding the Market Data Team that oversees the integrity of the bond and loan pricing and reference data that underpins our Global Credit product. We are looking for a market data analyst who enjoys solving puzzles, likes to build automated processes, and has a fine attention to detail. The analyst will have a background in evaluated pricing, independent price verification (IPV), fixed income trade support, or credit fund valuations. The analyst will work closely with our product and engineering teams to ensure the accuracy of the market data we deliver to clients.
We are a financial technology company that develops advanced analytics software for global credit investors. Our clients are the world's largest investment banks, asset managers, and hedge funds. An ideal candidate for this position will be comfortable with bond and loan price and reference data syntax, confident calculating fixed income analytics, and will bring the intelligence, puzzle-solving instinct, and proactivity needed to find the one wrong number in a very large dataset.
This job is for you if:
- You are frustrated by the pace and bureaucracy of large institutions.
- You enjoy puzzle-solving – you have an instinct for spotting the outlier that everyone else's process missed.
- You are highly analytical, detail-oriented, motivated by data integrity challenges, and can work independently.
- You would rather build automated market data checks than keep running them by hand.
- You know how to calculate YTM, YTW, z-spread, duration (Macaulay and Modified), and PV01 with ease.
- You understand how bond and loan pricing conventions work (clean vs. dirty price, accrued interest, day count) well enough to sanity-check a price against its fundamentals.
- You know how to leverage, but are not overly reliant on, the latest AI technologies.
- You are excited by and curious to learn what Cognitive Credit’s proprietary Market Data Pipeline does.
Required Education/Experience/Skills:
- Experience in evaluated pricing, independent price verification (IPV), fixed income valuations/trade support, or credit fund NAV pricing.
- Work experience as an investment bank IPV or vendor-side pricing analyst.
- Strong familiarity with bond and loan reference data syntax and pricing feed structures.
- Advanced Excel/Google Sheets skills, including building complex spreadsheets with Macros/Apps Scripts.
- Demonstrated ability to work through large, messy datasets to identify pricing outliers and data errors.
- Strong academic track record; sharp analytical and quantitative reasoning.
- General interest in technology, especially as applied to financial market data.
- An understanding of corporate capital structures, simple and complex, is a plus.
- Coding experience in Python, SQL, or a similar language for data analysis is a plus.
Typical Day:
- Reviewing pricing feeds received from our third-party pricing data provider against internal benchmarks and investigating anomalies.
- Sifting through large bond and loan price and reference datasets to identify, prioritize, and resolve outliers.
- Calculating and validating various bond and loan pricing data at scale.
- Tracing capital structures and inter-company relationships to ensure aggregate-level data integrity.
- Building automated algorithms that reduce manual reviews and checks.
- Documenting and escalating recurring data quality issues to our pricing vendor and internal stakeholders.
- Interacting with our clients, the world's leading investment firms, to answer questions about data and product functionality.
Compensation: Competitive pay and benefits, subject to individual experience.
Work Environment: Dynamic, innovative, analytical, and collaborative.
Location: The parent company is based in London, UK. The position can offer remote working flexibility.
We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Market Data Analyst in London employer: Cognitive Credit
Cognitive Credit is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration are at the forefront. As a remote team member, you will benefit from flexible working arrangements, continuous professional development opportunities, and the chance to contribute to cutting-edge fintech solutions. Join us to be part of a forward-thinking company that values your expertise and supports your growth in the rapidly evolving world of global credit analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data Analyst in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Cognitive Credit. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Market Data Analyst in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Cognitive Credit.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Cognitive Credit's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Cognitive Credit
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Cognitive Credit.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Cognitive Credit will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Cognitive Credit employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
