Market Data Analyst (FCFBDC6)

Referment; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Referment, a London-based fintech, is expanding its market data team to own bond and loan pricing integrity. As a Market Data Analyst, you will bridge product and engineering, ensuring pricing data clients receive is correct and building automated checks.

You will review feeds, analyze large datasets, compute metrics like YTM, duration and PV01, and develop algorithms to reduce manual reviews. You’ll answer client questions and collaborate with leading investment firms in a fast-paced hybrid

Qualifications

• Experience in evaluated pricing, IPV, fixed income valuations or NAV pricing.
• Familiarity with bond/loan reference data syntax and pricing feed structures.
• Advanced Excel or Google Sheets; Python/SQL is a plus.
• Ability to work through large, messy datasets to find the one wrong number.
• Strong analytical and quantitative reasoning; capital structures knowledge is useful.

Responsibilities

• Review pricing feeds from a third-party provider against internal benchmarks and investigate anomalies.
• Sift through large bond and loan datasets to identify and resolve outliers and relationships.
• Calculate and validate pricing data at scale (YTM, YTW, z-spread, duration, PV01).
• Build automated algorithms to reduce manual checks and document recurring data issues.
• Answer client questions about data and product functionality with leading investment firms.

Skills

Advanced Excel

Python

SQL

Attention to detail

Education

Bachelor's degree in a quantitative field

Tools

Macros

Apps Script

Job description

Referment is working with a London-based financial technology company that supplies specialist credit data and analytics to some of the world's largest investment banks, asset managers and hedge funds. Its platform automatically structures bond and loan data across thousands of issuers in the US, Europe and emerging markets, giving credit teams auditable fundamentals on demand.

They are growing the market data team that owns the integrity of the bond and loan pricing and reference data behind their global credit product. As their new market data analyst, you will sit between the product and engineering teams, making sure the pricing data clients receive is right and building the automated checks that keep it right.

The Role

• Review pricing feeds from a third-party pricing provider against internal benchmarks, investigating anomalies rather than accepting them.
• Sift through large bond and loan price and reference datasets to identify, prioritise and resolve outliers, including tracing capital structures and inter-company relationships to keep aggregate-level data sound.
• Calculate and validate bond and loan pricing data at scale, from YTM, YTW and z-spread to Macaulay and modified duration and PV01.
• Build automated algorithms that reduce manual reviews and checks, and document or escape recurring data quality issues to the pricing vendor and internal stakeholders.
• Answer client questions about data and product functionality, working directly with leading investment firms.

What We're Looking For

• Experience in evaluated pricing, independent price verification (IPV), fixed income valuations or trade support, or credit fund NAV pricing, for example as an investment bank IPV or vendor-side pricing analyst.
• Strong familiarity with bond and loan reference data syntax and pricing feed structures, and command of pricing conventions (clean versus dirty price, accrued interest, day count) so you can sanity-check a price against its fundamentals.
• Advanced Excel or Google Sheets skills, including complex spreadsheets with macros or Apps Script; Python, SQL or similar coding experience is a plus.
• A demonstrated ability to work through large, messy datasets to find the one wrong number that everyone else's process missed.
• A strong academic track record and sharp analytical and quantitative reasoning; an understanding of simple and complex corporate capital structures is useful.

This could suit an IPV, evaluated pricing or fixed income operations analyst at a large bank or data vendor who wants more ownership, a faster pace and the chance to automate the checks they currently run by hand. The role is permanent, full time and hybrid, based in London, with remote working flexibility offered by the company.

#Referment