• Own end-to-end research and production pipelines for a strategy • Lead alpha research initiatives leveraging advanced statistical and machine learning techniques • Process and analyze high-frequency tick data, order book snapshots, and market microstructure signals with sub-millisecond latency requirements • Analyze price formation, market liquidity dynamics, and limit order book imbalances across electronic venues • Build and run Monte Carlo simulations to estimate P&L distributions, risk exposures, and portfolio dynamics • Develop, backtest, and optimize quantitative trading strategies with rigorous statistical validation • Interpret complex model outputs and communicate alpha generation mechanisms to portfolio managers • Write modular, clean, and efficient Python code; build custom analytics libraries and research frameworks • Lead design reviews and establish data quality and research reproducibility standards • Guide 1–2 junior researchers through project delivery and model development • Proactively engage with traders and infrastructure teams to clarify research objectives and resolve data dependencies • Design and maintain real-time risk monitoring systems across multi-asset portfolios • Build models for dynamic position sizing, portfolio optimization, and factor exposure management • Develop stress testing and scenario analysis frameworks for tail-risk events and regime changes • Collaborate with Trading and Risk Management to define VaR limits, leverage constraints, and implement automated risk controls

• Conducting risk assessments on clinical trial data to identify potential issues and recommend mitigation strategies. • Collaborating with cross-functional teams to develop and implement risk management plans and protocols. • Monitoring data quality and integrity throughout the trial process, reporting findings to stakeholders. • Utilizing statistical analysis and visualization tools to communicate risk-related insights effectively. • Supporting the preparation of risk management documentation for regulatory submissions and audits.

• Design and implement enterprise data governance capabilities across Azure and Databricks environments. • Lead the implementation and optimisation of Databricks Unity Catalog. • Define and implement metadata management, data lineage, and data catalogue capabilities. • Design governance operating models, standards, policies, and controls. • Configure and integrate governance tooling including Collibra and Microsoft Purview. • Develop business, technical, and end-to-end lineage frameworks. • Define data ownership, stewardship, classification, and access management processes. • Partner with Data Engineering, Architecture, Security, and Business teams to embed governance across the platform. • Support stakeholder workshops, requirements gathering, and governance adoption activities. • Produce architecture documentation, governance frameworks, solution designs, and implementation roadmaps. • Support governance best practices across data quality, metadata management, security, and compliance.

• Achieves annual new revenue objectives through consultative sales to new clients and expansion of service lines to existing clients. • Exhibits thought leadership & industry engagement through associations, speaking panels and in general demonstrates expertise in selected industry vertical(s). • Develops annual, individual sales plan (ISP) with a pipeline coverage ratio of 5X or one that is in line with current company metrics to ensure stated goals are consistently met. • Builds an active pipeline of qualified prospects, generating leads from personal contacts, client referrals, prospect pursuit campaigns (PPC’s), other Relation colleagues and Relation marketing sources. • Documents new business activity in Relation’s sales tracking system. • Appropriately closes new business, documenting won/loss opportunities and reasons for all clients in Relation’s sales tracking system. • Develops and presents recommendations to clients based on consultative selling approach. • Assesses & identifies risk issues, needs and possible uninsurable or difficult to insure exposures for clients. • Recommends and assists clients with technical services including loss control and claims advocacy programs utilizing our in-house loss control and claims advocacy teams. • Seamlessly transitions sold clients to the designated client service/account management team. • Serves as client’s valued advisor, building a strategic and personal relationship with key client decision makers. • Communicates with leadership, providing field input on market trends, competitor analysis and other business intelligence. • Has a keen sense of humor, a competitive drive and winning spirit. • Performs other duties and special projects as assigned.