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.

Required Skills & Experience

• 3–5+ years of experience in Data Analytics, Reporting Analytics or similar data-focused roles.
• Mandatory experience working within FX, CFD, brokerage, trading, or financial markets environments.
• Working proficiency in Python for data processing, analysis, automation, and reconciliation tasks.
• Good SQL skills and experience working with complex datasets.
• Experience developing, maintaining, and enhancing production reporting and analytical solutions.
• Understanding of how reporting workflows interact across data ingestion, transformation, storage, and consumption layers.
• Strong attention to detail and a methodical approach to data validation and quality assurance.
• Ability to investigate and reconstruct complex sequences of business and system events.
• Strong communication and problem-solving skills.

Preferred Qualifications

• Experience with MetaQuotes MT4 and MT5 databases and trading data structures.
• Experience with PySpark and large-scale data processing.
• Familiarity with AWS Glue and the AWS Data Catalog ecosystem.
• Familiarity with Amazon Athena.
• Exposure to AWS Lambda, Step Functions, or EventBridge.
• Understanding of dealing operations, liquidity management, risk management, P&L reporting, or related brokerage workflows.
• Knowledge of AI and machine learning concepts, with the ability to introduce and integrate AI-based approaches into client profiling, reporting, and day-to-day analytical tasks.
• Hands-on experience applying AI tools (e.g., LLMs, machine learning models, or intelligent automation) to enhance the efficiency and accuracy of reporting and client analytics.