Alveo - Market Data Business Analyst (UK)

LatentBridge; Greater London; Hybrid; GBP 70,000 - 95,000; Full time

Job summary

A leading financial services firm in Greater London is seeking a skilled Market Data Business Analyst to enhance market data onboarding and risk valuation processes. You will own the Alveo platform, manage relationships with data vendors, and ensure robust data quality controls. The ideal candidate has over 8 years of experience in market data environments, a solid understanding of Murex integrations, and expertise in related market data domains. This hybrid position presents an exciting opportunity to contribute to critical risk and valuation efforts.

Qualifications

• 8+ years of experience in Market Data/Valuation/Risk BA roles.
• Deep hands-on experience with Alveo or equivalent market data platforms.
• Strong understanding of IPV and valuation adjustment frameworks.

Responsibilities

• Ownership of Alveo/Market Data Platform.
• Support valuation control and ensure model-ready data.
• Define and manage market data interfaces to/from Murex.

Skills

Market Data Analysis

Risk Valuation

SQL

Advanced Excel

Data Quality Management

Education

Degree in Finance, Financial Engineering, Mathematics, or Computer Science

Tools

Alveo (Asset Control)

Murex (MX.3)

Bloomberg Data

Power BI/Tableau

Job description

Job Title: Alveo - Market Data Business Analyst (UK)

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 hands‑on knowledge of Alveo (Asset Control) and working experience with Murex to drive high‑quality 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

1. 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.
2. Risk, Valuation & Product Control Support
   • Partner with Valuation Control/IPV to ensure model‑ready data for pricing (end‑of‑day 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 root‑cause and prevention.
3. 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 end‑to‑end flows: Alveo → Murex → Risk engines → Reports, with reconciliations and lineage.
4. Risk Data Aggregation & Controls (BCBS‑aligned)
   • 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.
5. 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 (time‑to‑fix, 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.