Role Overview

We are seeking a Senior Data Analyst to join our Quantitative Dealing team and take ownership of a growing portfolio of business-critical reporting, analytics, and internal data applications.This role is focused on ensuring the reliability, accuracy, and continuous improvement of the reporting ecosystem supporting Dealing, Management, Finance, and other business functions. The successful candidate will work closely with Quantitative Analysts while taking ownership of reporting and analytical initiatives from requirement gathering through delivery.

The role is expected to operate with a high degree of independence, owning investigations, solution design, implementation, and ongoing enhancement of reporting and analytics workflows, with support from the Quantitative Dealing team on business context and domain expertise.

This is a hands-on technical role requiring strong analytical thinking, attention to detail, and the ability to understand complex chains of business and system events. It is particularly suited to candidates with experience in FX, CFD, or brokerage environments who enjoy solving data problems, owning analytical processes, and building reliable data-driven solutions.

Key Responsibilities

• Own and continuously improve a portfolio of business-critical reports, analytics, and internal data applications.
• Take ownership of incoming reporting and analytical requests, translating business requirements into reliable, scalable, and maintainable solutions.
• Investigate, reconcile, and resolve complex data discrepancies across multiple systems and stakeholders.
• Perform root-cause analysis on reporting issues and implement sustainable long-term solutions.
• Use Python and SQL to extract, transform, validate, and analyze large datasets.
• Design, develop, and enhance reporting workflows, analytical processes, and internal tools in response to evolving business requirements.
• Work with AWS-based data infrastructure, including Glue, Data Catalog, Athena, and related services.
• Document reporting logic, business rules, data lineage, and technical processes.
• Investigate business questions and provide analytical insights based on trading and operational data.
• Support validation and critical review of existing risk management and dealing methodologies when required.
• Identify and implement opportunities to apply AI-driven tools and techniques to client profiling, reporting, and daily analytical workflows, improving efficiency, accuracy, and scalability across the reporting ecosystem.