Data Validation Specialist

Salary: £? - ? per year

Requirements:

• Strong experience working with market data, reference data, pricing data, or other financial datasets.
• Experience designing or implementing data validation frameworks and data quality controls.
• Ability to investigate data issues, identify anomalies, and validate complex datasets.
• Good understanding of financial instruments and market structures, including fixed income, rates, swaps, bonds, or related asset classes.
• Commercial experience using Python and SQL for data analysis, validation, and automation.
• Experience working with large datasets within financial services.
• Ability to work closely with technical and business stakeholders in a fast-paced environment.
• Strong analytical, problem-solving, and communication skills.
• Experience in hedge funds, asset management, or investment banks.
• Good understanding of quant engineering or quant data groups, and fixed income, rates, FX, macro, trading, or pricing environments.

Responsibilities:

• Develop and enhance data validation frameworks to improve the quality, consistency, and reliability of financial datasets.
• Validate, reconcile, and analyse market and reference data before it is consumed by front-office users and downstream systems.
• Apply validation rules, filters, and quality controls to derived datasets, ensuring accurate and trusted outputs.
• Investigate data quality issues, identify root causes, and work collaboratively to resolve discrepancies.
• Work closely with quantitative researchers, traders, and engineering teams to understand business requirements and expected data outcomes.
• Support the centralisation of data validation processes and promote consistent data standards across multiple data sources.
• Contribute to scalable data services and reusable validation capabilities that improve operational efficiency.
• Assist with the testing and implementation of new data services, ensuring robust validation processes are embedded throughout the delivery lifecycle.
• Document validation rules, quality controls, and operational procedures.
• Monitor data quality metrics and proactively identify opportunities for continuous improvement.
• Collaborate with engineering teams supporting pricing, risk, analytics, and investment data platforms.

Technologies:

• ARM
• Embedded
• Support
• Python
• Quant
• SQL
• Airflow
• AWS
• Cloud
• Kafka
• MongoDB
• NoSQL
• Snowflake

More:

We are seeking an experienced Data Validation Specialist to join our front-office data and analytics function, supporting the delivery of high-quality market and investment data used by quantitative researchers, traders, and analytics teams. This is a 3-6 month initial contract based in London with hybrid working, requiring 1-2 days per week on site. The role focuses on improving data quality, validation processes, and the management of complex financial datasets, while working closely with technical and business stakeholders to ensure data is accurate, reliable, and fit for purpose. We are looking for someone with experience in hedge funds, asset management, or investment banks, and with exposure to quant engineering or quant data groups. ARM is a specialist talent acquisition and management consultancy providing technical contingency recruitment and more complex resource solutions across a wide range of industries.

last updated 31 week of 2026