Market Data Analyst

Cognitive Credit

. Review pricing feeds from third-party pricing data providers against internal benchmarks and investigate anomalies .

Posted 9/15/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in evaluated pricing, independent price verification, and fixed income valuations, with strong analytical skills to manage large datasets and ensure data integrity. Proficient in advanced Excel and coding for data analysis, with a solid understanding of bond and loan pricing conventions.

Highest-signal resume keywords

Evaluated PricingIndependent Price Verification (IPV)Advanced Excel/Google Sheets SkillsPython or SQL for Data AnalysisBond and Loan Pricing Conventions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPricing Data ValidationQuantitative ReasoningYTM CalculationZ-Spread CalculationMacaulay DurationModified DurationPV01 CalculationData Quality Issue DocumentationAutomated Algorithm Development

Soft Skills

Attention to DetailAnalytical ThinkingProblem SolvingIndependent Work

Tools & Technologies

ExcelGoogle SheetsMacrosApps Scripts

Industry Keywords

Fixed Income ValuationsCredit Fund NAV PricingBond Reference DataLoan Reference DataInvestment Banking

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Review pricing feeds from third-party pricing data providers against internal benchmarks and investigate anomalies
Sift through large bond and loan price and reference datasets to identify, prioritize, and resolve outliers
Calculate and validate bond and loan pricing data at scale
Trace capital structures and inter-company relationships to ensure aggregate-level data integrity
Build automated algorithms to reduce manual reviews and checks
Document and escalate recurring data quality issues to pricing vendors and internal stakeholders
Interact with leading investment firms to answer questions about data and product functionality
Work closely with product and engineering teams to ensure accurate market data delivery to clients

Requirements

What you’ll need

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
Coding experience in Python, SQL, or a similar language for data analysis is a plus
Understanding of corporate capital structures is a plus
Ability to calculate YTM, YTW, z-spread, Macaulay and Modified duration, and PV01
Understanding of bond and loan pricing conventions, including clean vs. dirty price, accrued interest, and day count
Ability to leverage AI technologies
Ability to work independently and with strong attention to detail

Benefits

Comp & perks

Competitive pay and benefits, subject to individual experience
Remote working flexibility
Dynamic, innovative, analytical, and collaborative work environment