• The Global Analytics team applies quantitative and technological expertise to empower the firm with advanced models, tools, and other analytical resources
• This individual will play a central role in building and maintaining the data foundation that supports the Global Markets business
• This position focuses on developing scalable data assets, analytics, and automation to enhance transparency, performance measurement, and decision support across trading and related functions
• Designing and maintaining data pipelines that consolidate trade, position, and market information across multiple internal and external systems
• Delivering analytics that directly support daily trading operations, PnL reporting, and liquidity monitoring
• Balancing short-term tactical needs with longer-term data architecture improvements
• Developing standardized datasets and metrics that improve reporting accuracy and efficiency across the organization
• Understanding trading and settlement workflows, including how data flows through related systems and reporting functions
• Applying knowledge of financial data structures to design relevant analytics for trading, liquidity, and risk management use cases
• Partnering with Finance, Operations, and Risk to ensure data consistency and reconcile differences across domains
• Demonstrating awareness of data dependencies tied to regulatory reporting, capital monitoring, and internal controls
• Translating technical concepts into clear narratives and visuals for diverse audiences
• Building trust with stakeholders by delivering timely, accurate, and well-documented data outputs
• Working collaboratively across technical and business teams to align on data definitions and priorities
• Providing visibility into data quality and process improvements, driving adoption of shared analytics resources

Serving as a reliable partner to Trading, Finance, and Operations in identifying and solving data-related challenges

• The role requires strong technical proficiency, analytical problem-solving, and the ability to work across teams in a fast-paced environment
• Experience with modern cloud-based environments such as Snowflake, BigQuery, AWS, or GCP
• Familiarity with scheduling and transformation tools such as Airflow, dbt, or similar
• Strong understanding of data modeling, lineage, and validation best practices
• Comfortability using Git and modern workflow management practices
• Direct experience performing detailed and data intensive reconciliations with disparate datasets, preferably in the financial sector
• Familiarity with financial services regulatory reporting and related compliance standards
• Proven track record of developing scalable data solutions and delivering actionable insights in a multi-stakeholder environment
• Strong analytical skills, including the ability to handle large datasets and apply statistical or econometric tools
• High analytical rigor, cross-functional execution discipline, and attention to detail

You've kept up to date with the proliferation of blockchain and crypto innovations

• Ability to create clear, insightful dashboards in Tableau, Power BI, Looker, or equivalent platforms

2-4 years of experience in data science, analytics, or data management, ideally within financial services, trading, or fintech