Data Analyst | Risk

Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets.

Role Summary

As a Risk Data Analyst within the Data team, you will work closely with the Risk function to support effective, data-led risk management, oversight, monitoring and reporting across Marex. You will act as a bridge between Risk and Technology for all things data, cultivating relationships with data creators, data owners and data consumers and helping to ensure that critical risk data assets are properly defined, governed and maintained within a central data catalogue. Through your work you will develop a deep understanding of risk data, dataflows, controls and reporting processes across risk disciplines such as market risk, credit and counterparty risk, operational risk, risk governance and regional risk controls.

Responsibilities

• Identify and analyse structured and unstructured data within the Risk function, including data used for risk measurement, monitoring, controls, governance, regulatory reporting and management information.
• Document how it relates to other datasets, how it flows through the organisation, how it is stored, how it is controlled and how it is used by Risk stakeholders.
• Identify risk datasets for ingestion into Marex’s Data Platform and work closely with other members of the Data Team to ensure data is efficiently ingested, correctly modelled and fit for use in risk analytics, dashboards, governance packs and control reporting.
• Identify and cultivate relationships with key data creators, data owners and data consumers.
• Ensure key risk data assets, definitions, ownership, lineage, quality rules and usage are properly documented and maintained within a central data catalogue.
• Work with Risk, Technology and other control functions to identify, investigate and resolve data issues that could impact risk reporting, risk monitoring, escalation, governance or regulatory obligations.
• Perform and automate data validation, reconciliation and exception reporting to improve the accuracy, completeness and timeliness of risk data and management information.
• Support the design, development and maintenance of Power BI reports, dashboards and analytical models used by Risk stakeholders to monitor exposures, limits, trends, exceptions, emerging risks and control performance.
• Translate Risk business requirements into clear data requirements, including source-to-target mappings, reporting logic, business definitions, data quality checks and acceptance criteria.
• Develop and maintain procedures, workflows and documentation relating to risk data management, reporting controls, data lineage and issue remediation.
• Contribute to risk governance forums, change initiatives and strategic projects by providing data analysis, reporting insight and evidence-based challenge where required.

All staff:

• Ensuring compliance with the company’s regulatory requirements under the FCA, NFA, AMF, AFM, MAS.
• Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with.
• Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values.
• At all times complying with the FCA’s Code of Conduct.
• To ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility.
• To report any breaches of policy to Compliance and/or your supervisor as required.
• To elevate risk events immediately.
• To provide input to risk management processes, as required.

Competencies, Skills, Experience & Qualifications:

Skills and Experience:

• Experience of working in a data, analytics, reporting or risk-related role aligned to or within a Risk function in the Financial Services sector.
• Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling for analytical, control or reporting use cases.
• Familiarity with data warehouses, lakehouse platforms and analytical data structures used to support reporting, monitoring and decision-making.
• Experience of data quality assurance, validation, reconciliation, lineage and control documentation.
• Knowledge of software development methodologies (Sprints/Agile) and project management software (Jira).
• Excellent verbal and written communication skills, with the ability to explain data issues and insights clearly to both technical and non-technical Risk stakeholders.
• Experience working in a regulated environment and an understanding of the risk and compliance requirements associated with financial services.
• Ability to work with stakeholders across Risk, Technology, Finance, Operations and Compliance to agree definitions, resolve data issues and improve reporting processes.

Technical:

• Relational, dimensional and analytical data modelling, including structures suitable for risk MI, exposure monitoring and control reporting.
• Familiarity with SQL Server, Databricks SQL and other database technologies used to query, transform and validate risk data.
• Advanced SQL scripting, including joins, aggregations, reconciliation logic, exception identification and performance-aware query design.
• Familiarity with ETL/ELT tools and experience navigating data pipelines, orchestration processes and source-to-report dataflows.
• Strong Power BI capability, including data modelling, DAX, report design, dashboard development and governance of recurring management information.
• Experience using scripting languages such as Python or PowerShell to automate data extraction, validation, reconciliation and reporting processes.
• Familiarity with Git or other source control software.

Desirable:

• Knowledge of risk management concepts, including market risk, credit and counterparty risk, operational risk, risk appetite, limits, controls, governance, stress testing and regulatory reporting.
• Understanding of capital markets products, trading lifecycle data, risk exposure measures, P&L drivers, client and counterparty data, and the data dependencies that support effective risk oversight.

Competencies:

• An analytical problem solver, expert in spotting patterns and inferring connections in data.
• A collaborative team player, approachable, self-efficient and influences a positive work environment.
• Demonstrates curiosity.
• Resilient in a challenging, fast-paced environment.
• Excels at building relationships, networking and influencing others.
• Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness.

Conduct Rules, You must:

• Act with integrity.
• Act with due skill, care and diligence.
• Be open and cooperative with the FCA, the PRA and other regulators.
• Pay due regard to the interests of customers and treat them fairly.
• Observe proper standard of market conduct.
• Act to deliver good outcomes for retail customers.

Company Values

• Be collaborative - by working together across the organisation, we foster teamwork, can better respond to challenges and successfully deliver for our clients.
• Act with integrity - we pride ourselves on our honesty and high ethical standards.
• Be adaptable and entrepreneurial - we embrace change as markets evolve to constantly increase our efficiency and create innovative solutions for our clients.
• Be respectful – how we treat each other, and our clients says everything about who we are.
• Nurture talent – we aim to grow our own talent and make Marex the place ambitious, hardworking and talented people choose to build their career.

Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all.