Sean Clark Email & Phone Number

United Kingdom

London, GB

• Consulted on technology initiatives for HSBC to optimize complex grid computations in FX Cash and FX Options models, addressing challenges around cost, transparency, and resource efficiency.
• Designed and implemented a metric framework, data pipelines, observability tools, anomaly detection, and automated regression testing, enhancing productivity for distributed teams managing interdependent models.
• Delivered a 30% reduction in cloud computation expenses by identifying and implementing impactful changes to model architecture and support processes.
• Improved data transparency and access by facilitating end-to-end visibility of grid computations, allowing business, model owners, and tech teams to make faster, data-driven adjustments.

London, London, GB

• Optimized financial crime prevention and operations for IPO-readiness by conducting reviews of critical financial crime prevention models and operational costs for a FinTech firm specializing in FX hedging and Trade.
• Reduced FinCrime operational costs 70% without increasing risk by implementing streamlined transaction monitoring, sanctions model reviews, and targeted model adjustments, eliminating the need for 80 new hires.
• Established governance frameworks, automated anomaly detection, and data quality management tools, leading to improving data quality metrics and boosting customer satisfaction.
• Lowered cloud costs 50% by developing a cloud cost attribution model and implementing high-impact changes to provide proactive issue detection, enhancing both employee engagement and operational efficiency.

Everywhere, OO

• Secured $70M Series B Funding through data transformation, including building and leading a high-performing Data & AI team to address critical data inconsistencies and regulatory challenges.
• Designed and implemented an advanced Data Platform that unified organizational data, enabling comprehensive analysis, reporting, and model development across all departments.
• Developed a Customer Success Factors rating model and trained lead-scoring models to improve lead quality and customer profiling while revising sales incentive structures to balance contract value with customer.
• Launched Customer Insights products, allowing clients to analyse their own customer base and adding a valuable, data-driven revenue source.

London, England, GB

• Consulted Shell Power Trading on designing an advanced power trading data platform for supplier customers aimed at hedging against supply and demand imbalances in the electricity market.
• Enhanced the platform’s capacity for accurate modelling by negotiating with data vendors to integrate 100 billion data points spanning 10 years of UK market supply and demand data.
• Deployed seasonality and factor-based modelling techniques to analyse market dynamics, enabling the platform to effectively assess profitability and operational performance.
• Delivered a fully functional prototype that facilitated customer demonstrations generating a high yield potential pipeline, enabled new business development, and revived customer engagement.

London, UK, GB

• Working alongside Strategic Intelligence Consultancy I participated as advisor to develop a model governance framework for local authorities to develop services incorporating AI and predictive analytics.
• Review of 150 projects from local authorities using AI and predictive analytics.

San Francisco, California, US

• Streamlined the sales and investment strategy process for multi-asset investments by partnering with portfolio managers, sales, and research teams to develop a consistent portfolio construction and analysis model.
• Designed sales tools that captured client objectives and preferences, including ESG considerations, ensuring alignment with client values and improving pitch relevance.
• Reduced preparation and validation time for prospect pitches, leading to a 45% higher rate of new mandates and enabling the investment team to focus on high-value, strategic tasks.

• Developed a personalized learning app prototype for EdTech Startup to tailor math lessons for primary students, aligning with curriculum standards to simplify progress tracking and reporting for teachers.
• Built leadership team and advisory board, creating a pitchbook to attract potential investors.
• Gained strategic insights related to EdTech product development, investor engagement, and market alignment despite funding challenges.

New York, NY, US

• Served as Quantitative Developer on a multi-asset risk computation platform, designing next-generation risk and pricing tools for credit, interest rate, and FX derivatives desks.
• Optimized the platform’s core serialization framework to process vast data quantities efficiently, reducing operational costs 50% and supporting scalable growth across credit, FX, and interest rate products.
• Built bespoke analytics tools to support SABR model calibration, enhancing precision in interest rate modelling.

Singapore, Singapore, SG

• Enhanced system observability and performance analysis for risk and PnL, identifying and mitigating key bottlenecks and correcting significant model errors to improve confidence in the trading teams.
• Led a bottleneck analysis and improvement program, scaling to support a 1000% increase in trade volume.

New York, NY, US

• Developing an analytics and testing framework to address and correct valuation model deficiencies within a credit derivatives risk computation platform.
• Led a 5-person team building high-compute scenario calculations for Basel 2.5 compliance in credit derivatives risk management.
• Optimized platform performance in core libraries for credit curve modelling leading to 50% cost reduction from highest cost calculation in one commit of code.

New York, NY, US

• Directed Quant Equity portfolio alpha model management systems, contributing to advanced investment model research and equity risk analysis.
• Ensured system quality and robustness through regression testing and mentoring junior developers.
• Progressed within the Scientific Active Equity portfolio teams over four years, advancing from model system development to investment model research and machine learning innovation.
• 18 months of in-depth research on global equity risk factors within the Risk & Quantitative Analytics department.

Phd In Quantum Computation With Professor Richard Jozsa, Computer Science

Specialization, Deep Learning / Artificial Intelligence

Master Of Science (Msc), Information Technology

Bachelor Of Science (Bsc), Mathematics

Mathematics (Erasmus)