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Seasoned Data Analytics Leader | Enabling Business Growth through Advanced Analytics | Financial Markets & FinTech Specialist🔹Showcasing over 18 years of leading data-driven strategies and delivering impactful solutions across diverse industries, including finance, fintech, and energy. 🔹Expert at optimizing enterprise performance by designing and implementing advanced data platforms, machine learning models, and governance frameworks. 🔹Strategic leader passionate about collaborating with C-suite executives and cross-functional teams to understand complex business challenges and translate them into actionable insights. 🔹Committed to leveraging data analytics and AI to foster innovation and secure competitive advantages in fast-paced environments.Key Career Highlights:⭐ Achieved a 30% reduction in cloud computation expenses, through model optimization and enhanced data observability at HSBC Global Banking & Markets.⭐ Cut FinCrime operational costs by 70% through effective model reviews and governance implementations, improving data quality and customer satisfaction at Ebury.⭐ Secured $70m Series B funding for Railsr by transforming data strategies, building a high-performing Data & AI team, and enhancing lead quality with a Customer Success Factors rating model.⭐ Enhanced a power trading data platform for Shell Trading, integrating 100 billion data points to support electricity market modelling and a product prototype unlocking significant sales pipeline.⭐ Streamlined the sales process for multi-asset investments for Wells Fargo Asset Management (now Allspring Global Investments), increasing new mandate acquisition by reducing preparation time with a client-aligned portfolio construction model.Core Competencies:Data Science | Artificial Intelligence | Data Strategy | Stakeholder Management | Financial Crime Prevention | Cloud Cost Optimization | Model Governance | Data Quality Management | Anomaly Detection | Metric Frameworks | Portfolio Management | Operational Efficiency | Customer Insights | Performance Improvement | Risk Management | Machine Learning | Data Transformation | Enterprise Value | Data Integration | Regulatory Compliance | Observability
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Head Of AiHyperlayerUnited Kingdom
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ConsultantHsbc 2023 - PresentLondon, 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. -
Svp Head Of Data StrategyEbury 2022 - 2023London, 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 Finance.• 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. -
Chief Data OfficerRailsr 2020 - 2022Everywhere, 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 profitability.• Launched Customer Insights products, allowing clients to analyse their own customer base and adding a valuable, data-driven revenue source. -
Consultant, Power Trading Data PlatformShell 2019 - 2020London, 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. -
Data Science Adviser (Part Time)Local Government Association 2019 - 2020London, 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. -
Quantitative Research Analyst - Wells Fargo Asset ManagementWells Fargo 2018 - 2019San 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. -
Ceo And FounderQute Solutions Jan 2018 - Jun 2018• 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. -
Consultant, Cross Asset Risk TechnologyMorgan Stanley 2014 - 2017New 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. -
Consultant, Commodities Trading, Risk And Valuation TechnologyTrafigura 2013 - 2014Singapore, 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. -
Vice President, Credit Risk TechnologyMorgan Stanley 2012 - 2013New 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.
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Vice President, Quantitative Equity Portfolio ManagementBlackrock 2006 - 2010New 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.
Sean Clark Skills
Sean Clark Education Details
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University Of BristolComputer Science -
Deep Learning Ai And Nvidia Deep Learning InstituteDeep Learning / Artificial Intelligence
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Queen Mary University Of LondonInformation Technology
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University Of LeedsMathematics
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Université Paris CitéMathematics (Erasmus)
Frequently Asked Questions about Sean Clark
What company does Sean Clark work for?
Sean Clark works for Hyperlayer
What is Sean Clark's role at the current company?
Sean Clark's current role is Head of AI.
What is Sean Clark's email address?
Sean Clark's email address is se****@****ail.com
What schools did Sean Clark attend?
Sean Clark attended University Of Bristol, Deep Learning Ai And Nvidia Deep Learning Institute, Queen Mary University Of London, University Of Leeds, Université Paris Cité.
What skills is Sean Clark known for?
Sean Clark has skills like Equities, Java, Sql, Scala, Credit Derivatives, Derivatives, Agile Methodologies, Data Mining, Apache Spark, Fixed Income, Algorithms, Software Development.
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