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- Tasks: Drive high-quality market data onboarding and support risk and valuation processes.
- Company: Join a leading investment banking firm with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact in the finance sector by optimising market data processes.
- Qualifications: 8+ years in Market Data/Risk roles; expertise in Alveo and Murex required.
- Other info: Collaborative environment with strong emphasis on career development.
The predicted salary is between 60000 - 84000 ÂŁ per year.
Location: UK (London-Hybrid)
Function: Market Data / Risk & Valuation
Experience: 8+ years
Role Summary
We are seeking an experienced Market Data Business Analyst with strong handsâon knowledge of Alveo (Asset Control) and working experience with Murex to drive highâquality market data onboarding, mastering, and distribution for valuation, risk, product control, and operations. The ideal candidate understands risk data aggregation (BCBS 239) challenges, independent valuation (IPV) processes, risk factor preparation, and stress testing workflows, and can bridge functional requirements with practical data engineering and control frameworks.
Key Responsibilities
- Alveo / Market Data Platform Ownership
- Gather, document, and refine business requirements for market data mastering (terms & conditions, time series, curves, volatility surfaces, corporate actions, symbology).
- Design and optimize feed onboarding and data distribution workflows in Alveo, including golden source selection, rules, validations, and exception handling.
- Define and implement data quality controls, scorecards, and remediation playbooks (completeness, accuracy, timeliness, consistency).
- Liaise with vendors (e.g., Bloomberg, Refinitiv, ICE, S&P) for feed specs, licensing constraints, and changes; manage UAT and production deployment.
- Risk, Valuation & Product Control Support
- Partner with Valuation Control/IPV to ensure modelâready data for pricing (endâofâday marks, curves, surfaces), challenge frameworks, and reserve methodologies.
- Support Risk in risk factor taxonomy, mapping, and aggregation; ensure alignment across FO/Risk/PC data models for VaR, FRTB, XVA, sensitivities.
- Enable stress testing scenarios: source and transform stressed market data sets, ensure provenance, consistency, and reproducibility.
- Own issue triage for valuation breaks, stale/erroneous data, curve calibration anomalies, and market data outages; drive rootâcause and prevention.
- Murex (MX.3) Integration
- Define and manage market data interfaces to/from Murex (quotes, static, calendars, curves, vol surfaces), ensuring format and timing compliance.
- Collaborate with Front Office/Quant/IT to align instrument definitions, pricing configurations, and market data transformations for consistent valuations.
- Validate endâtoâend flows: Alveo â Murex â Risk engines â Reports, with reconciliations and lineage.
- Risk Data Aggregation & Controls (BCBSâaligned)
- Design aggregation logic and hierarchies to support accurate and timely risk reporting across entities, books, desks, and product lines.
- Implement data lineage, metadata, and control checkpoints (DQ rules, thresholds, approvals) to meet governance and audit expectations.
- Prepare documentation (operating procedures, control narratives, runbooks) and support internal/external audits.
- Stakeholder Management & Delivery
- Act as the primary BA between Market Data Operations, Risk, Product Control, Front Office, Model Validation, and Technology.
- Run cadences: daily issue standup, weekly market data health, monthly risk/valuation data governance.
- Produce dashboards/metrics (timeâtoâfix, DQ scorecards, feed SLA adherence, IPV timeliness, stress test readiness) for executive reporting.
Required Experience & Skills
- 8+ years in Market Data/Valuation/Risk BA roles within Investment Banking/Asset Management/Market Infrastructure.
- Deep hands-on experience with Alveo (Asset Control) or equivalent market data platforms (e.g., GoldenSource, Markit EDM/IHS EDM, Bloomberg PolarLake).
- Solid working knowledge of Murex (MX.3) market data requirements and integrations for pricing and risk.
- Expertise in market data domains: Rates, FX, Credit, Equities, Commodities, cash and derivatives; curves (OIS/IBOR), surfaces (vol/variance), correlation, reference data.
- Strong understanding of IPV, fair value hierarchy, valuation adjustment frameworks, and risk factor preparation.
- Familiarity with stress testing design and data sourcing; experience supporting VaR/FRTB/XVA and enterprise risk reporting.
- Proficiency in SQL and advanced Excel; familiarity with Python for data validation/transformation is a plus.
- Knowledge of data vendors and feeds (e.g., Bloomberg BVAL/BPIPE, Refinitiv DataScope), common data formats, and licensing constraints.
- Comfortable with controls and governance (data quality frameworks, lineage, audit, SOX/privacy considerations).
Preferred Qualifications
- Degree in Finance, Financial Engineering, Mathematics, Computer Science, or related field.
- Certifications: FRM, CFA, or PRM (preferred).
- Experience with Power BI/Tableau, Jira/Confluence, ServiceNow for issue workflows.
- Exposure to risk engines and pricing libraries; basic understanding of curve construction and calibration.
Alveo - Market Data Business Analyst (UK) in London employer: LatentBridge
Contact Detail:
LatentBridge Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Alveo - Market Data Business Analyst (UK) in London
â¨Tip Number 1
Network like a pro! Reach out to your connections in the finance and market data space. Attend industry events or webinars, and donât be shy about introducing yourself. You never know who might have the inside scoop on job openings.
â¨Tip Number 2
Prepare for interviews by brushing up on your Alveo and Murex knowledge. Be ready to discuss specific projects you've worked on that relate to market data onboarding and risk management. Show them youâre not just a fit on paper but in practice too!
â¨Tip Number 3
Donât forget to showcase your problem-solving skills! Be prepared to talk about how youâve tackled challenges in data quality controls or valuation processes. Real-life examples will make you stand out from the crowd.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in joining our team at StudySmarter. Letâs get you that dream job!
We think you need these skills to ace Alveo - Market Data Business Analyst (UK) in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Market Data Business Analyst role. Highlight your experience with Alveo and Murex, and donât forget to showcase your understanding of risk data aggregation and valuation processes.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youâre the perfect fit for this role. Mention specific projects or experiences that relate to the responsibilities listed in the job description.
Showcase Relevant Skills: Donât just list your skills; demonstrate them! If youâve got hands-on experience with SQL, Excel, or Python, make sure to include examples of how youâve used these tools in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you donât miss any important updates!
How to prepare for a job interview at LatentBridge
â¨Know Your Alveo Inside Out
Make sure you have a solid grasp of Alveo (Asset Control) and its functionalities. Brush up on how it integrates with Murex, as well as the specifics of market data onboarding and distribution workflows. Being able to discuss your hands-on experience confidently will set you apart.
â¨Master the Market Data Landscape
Familiarise yourself with the key market data domains relevant to the role, such as Rates, FX, and Credit. Be prepared to discuss your understanding of risk data aggregation and independent valuation processes. This knowledge will demonstrate your expertise and readiness for the challenges ahead.
â¨Prepare for Technical Questions
Expect technical questions around SQL, data quality controls, and stress testing workflows. Practise articulating your experience with these tools and concepts, as well as any relevant projects you've worked on. Showing that you can bridge functional requirements with practical data engineering will impress the interviewers.
â¨Showcase Your Stakeholder Management Skills
Highlight your experience in liaising with various stakeholders, from Front Office to Risk and Product Control. Prepare examples of how you've managed communication and collaboration in past roles. This will illustrate your ability to act as a primary BA and ensure smooth operations across teams.
