Smitha S.

Built a product experimentation sandbox focused on wealth-tech AI agents, portfolio intelligence, and developer workflows.

• I initiated BridgeYield as a strategic sandbox to explore product ideas at the intersection of AI, tokenization, and wealth management.
• Explored tokenized fixed-income with a demo portal for ERC-3643 bonds (crypto), enabling real investor feedback.
• Conducted 20+ user interviews with fund managers and LPs to understand reporting, capital call, and liquidity pain points.
• Iterated from marketplace to a B2B wealth co-pilot MVP for LP/GP workflows.
• Designed and built a unified data ingestion framework consolidating financial statements, advisor profiles, and portfolio data into structured, queryable datasets; improved processing accuracy by 30% through automated validation rules.
• Implemented governance workflows including schema enforcement, access controls, and automated reconciliation checks to improve data reliability and reduce downstream errors.

• Led cross-functional teams in agile environments, ensuring high-impact solution delivery 25% faster while proactively managing risks and optimizing execution strategies.
• Influenced executive buy-in and led delivery of a real-time AI-powered dashboard that automated P&L reconciliation for trade settlements, reducing processing time by 75% and errors by 40%.
• Drove roadmap and strategy for AI/ML-powered financial risk tools and APIs handling $100M+/day settlements, enhancing compliance, profitability (+15%), and audit readiness.
• Partnered with engineering and data science to implement FinOps best practices on GCP for ML risk control models, cutting cloud costs by 30% while ensuring scalability and performance.
• Spearheaded the development and adoption of AI-driven search and analytics platforms, leveraging LLMs and NLP to improve financial insights discovery by 30% and increase new feature adoption by 25%.
• Defined UX standards and integrated secure, compliant endpoints across teams to deliver robust, user-friendly search and analytics experiences for complex financial data.
• Troubleshot and resolved production issues in financial reporting workflows, ensuring system reliability and data integrity.
• Identified and mitigated risks in data discrepancies, ensuring financial reporting accuracy and reducing reconciliation errors by 30%.
• Partnered with finance executives and tech leaders, fostering trusted relationships to drive analytics solution adoption successfully.
• Defined and executed product roadmap, aligning with business goals, compliance, and balancing stakeholder expectations effectively.
• Developed advanced PnL analytics using Python, SQL, and C#, improving trade profitability by 15% and increasing annual revenue.

The Barclays Innovation Hub is a space designed to foster innovation in fields such as AI, Fintech, and Climate Tech.

• Conducted comprehensive customer discovery to identify market needs and inform product development.
• Developed and executed strategic business models focusing on cost structure and revenue streams.
• Led the transition from product planning to project management, ensuring successful business idea pitches to mentors.

• Managed a team of 4 to build an application focused on Collateral Margin calculation for 33 counterparties spread across 6 regions.
• Developed Basel-compliant APIs and automated reconciliation workflows, saving $2M+ annually, boosting capital efficiency, and cutting manual effort by 99.5% across 33 counterparties.
• Built and optimized internal integration frameworks and monitoring for high-throughput, resilient, and auditable trading infrastructure using Grafana, Prometheus, Docker, and Kubernetes on AWS.
• Led architectural strategy for AI/ML platforms, improving code quality by 20%, reducing issue resolution times, and enabling scalable, secure compute services.
• Owned vision and delivery of AI-driven analytics platforms for Bank of America’s trading desks, integrating LLM-powered search, contextual insights, and natural-language queries into trader workflows; deployed to 5,000+ institutional users, boosting engagement by 25% and enabling new data monetization opportunities.
• Collaborated cross-functionally to design model evaluation and continuous improvement processes, ensuring regulatory compliance and improving model accuracy by 15% in high-stakes financial risk analytics

• Building and maintaining two Collateral applications. One focuses on Margin calculation and delivering the files to counterparties. While the other focuses on stress testing interest rates and calculating the amount of Funding the bank needs to hold in case of an adverse situation.
• Increased speed and memory efficiency by implementing code refactor and applying best design patterns for the business logic

• Analyzed and attributed the risks faced by Fixed Income and Equity Funds to their constituents, sectors and holdings’ allocations
• Created monthly risk reports for each fund for the ‘PPMA Risk Overview Committee’ with the related analytics and visualizations
• Built a scenario analysis model to check how the prepayment speed affects the Cashflow and Total Return of Mortgage Bonds

• Conducted Due Diligence on Funds by preparing DDQs and doing a thorough research before meeting Portfolio Managers. These are the funds considered for the Retirement Plan 401(k)
• Wrote fund commentaries and investment notes for our Quarterly Fund Report.
• Prepared Proposals for new plan requests and making mapping changes for specific platforms
• Conducted extensive research to build test models to decrease volatility in REITs’ investing strategy
• Built R-Shiny apps for better visualization of the model for the firms' traders
• Built apps using C# and Jquery for managing the trade rolls and fund investments

• Proactively provided creative input in order to engineer new and enhanced existing trading infrastructure and strategies.
• Worked closely with traders and quantitative analysts to understand the business needs of the technology to ensure the system is ideally built for the problem at hand.
• Identified potential areas for optimization and performance enhancements including suggestions for the ongoing maintenance and improvement of overall code quality.
• Owned all aspects of trading strategy code including trading algorithms, performance, and exchange connectivity.
• Provided realistic estimates for project and software development timelines ensuring accountability.
• Utilised exhaustive testing and debugging skills as part of the development process.

• Created time series database indexed in 2 time periods. Developed an algorithm for a Liquidity Index. Worked on various factors to get the optimal index value.
• Collected the data from Bloomberg; analyzed the data and built factors for the index using MATLAB and R
• Involved in the Business side of the project; held meetings, created and presented business reports to clients
• Modelled an application called RiskFlip to help new investors to hedge their portfolio optimally
• Pitched this application to prospective clients and worked with few to get the datasets for the model

• Researched macroeconomic and microeconomic conditions along with company fundamentals to make business, sector and industry analysis
• Also recommended to buy or sell a company's stock based upon its overall current and predicted strength
• Integrated Discounted Cash Flow Valuations, Porter’s Five Forces and SWOT Analysis to analyze the stocks' credibility; Implemented financial forecasting systems and tools to analyze the business
• Conducted fundamental analysis and peer comparison of financial ratios to make recommendations

• Designed and tested the project scope, testing lifecycle and steps for reconciliation of a leading Bank's trades
• Performed end-to-end quality assurance of seven trade reconciliations and delivered them well ahead of its deadline
• Constructed SQL queries and TLM logics to map different accounts for smooth flow of trade data
• Proficient in the complete Extraction Transformation and Loading (ETL) process
• Conducted audits and presented sessions on account’s security policies
• Conducted Knowledge Transfer sessions for new recruits in my team on the basics of financial services