Kiranjit Purewal

Liquidity & Funding Specialist with 10+ years' experience across Tier-1 banks, specialising in intraday liquidity and treasury management systems within regulated environments. Experienced in managing multi-billion daily payment flows across real-time settlement infrastructures, supporting effective liquidity positioning, operational resilience, and governance oversight. Delivers funding optimisation and process improvement initiatives through data-driven analysis and strategic decision-making.

Recognised for being analytical, adaptable, and collaborative, with strong stakeholder management skills. Maintaining a composed and methodical approach during intraday liquidity stress scenarios, supporting effective decision-making, operational resilience, and risk control in high-pressure environments.

Assistant Vice President, Intraday Liquidity Management - Barclays Bank PLC - London

(2019-11)

Managed Euro and Sterling liquidity across major clearing systems including TARGET2 and CHAPs acting as SME for Euro Liquidity management. Proven track record of optimising liquidity usage, reducing funding costs, and enhancing capital efficiency. Supervised and developed team members, delivering training to strengthen operational resiliency.

Partner to Treasury and Front Office, providing forecasting, risk insight, and scalable reporting to support liquidity planning, regulatory compliance, and trading activity.

• Process Automation: Identified manual, high-risk operational workflows across liquidity processes; led automation initiatives and process redesign, reducing manual intervention and lowering operational risk while improving processing efficiency and capacity.
• Infrastructural Expansion: Addressed gaps in onboarding new central bank branches and payment schemes by developing scalable operational processes and leading UAT testing, ensuring smooth integration.
• Liquidity Structuring: Supported development of a new liquidity solution for a major client; aligned product design with internal funding and operational frameworks, enabling efficient deployment and improved client service capability.
• Industry Transformation: Played a key role in the successful high-risk, single-event migration to ISO 20022 and TARGET2 harmonisation. By collaborating with stakeholders to translate business requirements, redesign operating models, and streamline workflows. Managed end-to-end testing, documentation, and training across multiple systems, ensuring seamless transition and operational resilience.
• Operational Resilience: Led the design and implementation of robust liquidity contingency procedures across multiple Eurozone central banks and systems, significantly mitigating systemic risk and maintaining core settlement continuity during major infrastructure disruptions.
• Funding Optimisation: Used historical funding and settlement data to support data-driven funding strategies across multiple payment schemes; for example, analysing SEPA and TIPS liquidity patterns to optimise prefunding levels and minimise opportunity cost.

Funding Analyst (Cash Management) - Barclays Bank PLC - London

(2015-02 - 2019-11)

Projecting expected funding requirements for the Front Office (Treasury & Securities) across multiple markets including Europe, Russia, Scandinavia and Middle- East and Africa and entities. Included monitoring cash balances across all nostros, providing timely reporting at a number of levels on balances and costs.

• Treasury Process Transformation: Transformed manual, excel-driven forecasting into a centralised multi-currency TMS platform, standardising funding processes ensuring correct data-flow. Improved projection accuracy, reduced manual intervention and strengthened controls.
• Funding Cost Optimisation: Implemented process improvements and cost-saving initiatives, including analysis of agent bank interest charges on nostro balances, delivering measurable reductions in reportable funding costs.
• Interest Rate Cost Allocation Enhancement: Collaborated with Interest Claims and Network Management to streamline and document interest rate cost allocation processes, improving process clarity, control, and knowledge sharing across Treasury Operations.
• Liquidity Reporting & Intraday Visibility: Led initiatives with agent banks to establish intraday messaging, providing real-time balance visibility and enhancing the accuracy and timeliness of liquidity reporting for operational and front-office teams.
• Cross-Functional Process Improvement & Automation: Identified and implemented process improvement opportunities across Middle Office, Front Office, Finance, IT, and Operations, including automating reporting to enhance accuracy in bookings and cost allocations, while saving time and reducing manual effort.

Securities Settlements Analyst - UBS - London

(2014-05 - 2015-01)

Manage the US Treasury Bond settlements via BONY; providing settlement confirmation, managing depot positions, calculation of stock borrowing requirements, producing end of day hand over and solving reconciliations. Manage the offshore teams for the Canadian and Latin American markets for Prime Brokerage and Stock Borrow Loan; from an onshore escalation standpoint.

Data Analytics Career Accelerator - London School of Economics - London

(2025-07 - 2026-03)

Alongside current role embarked on a practical and technical programme working on real world projects. Delivered end-to-end analysis on complex datasets using SQL, Python, and Excel to support data-driven decision-making across multiple business scenarios. Built interactive Tableau dashboards to communicate insights, improving stakeholder visibility into key performance trends.

Applied machine learning techniques (including ai-driven technology, regression, clustering, NLP) to develop predictive models and customer segmentation strategies, translating outputs into actionable business recommendations.

• Consumer Behaviour Analysis: Understand and link customer purchasing patterns to advertising performance. Analysed transactional and marketing data using SQL and Excel; built Tableau dashboards to visualise behavioural trends and campaign effectiveness. Identified key customer segments and high-performing channels, enabling more targeted marketing strategies.
• Operational Efficiency Analysis: Address inefficiencies in appointment scheduling across specific time periods and locations. Used Python (Pandas, NumPy, Matplotlib) to analyse scheduling data and uncover utilisation gaps. Proposed optimisation strategies to improve resource allocation and operational efficiency.
• Industry Analytics & Customer Insights: Improve customer engagement through deeper behavioural insights. Built predictive models, performed segmentation, and applied NLP techniques to analyse sentiment. Generated insights to inform strategic decisions and enhance customer targeting.
• Sponsored Investment Strategy Project: Tasked with developing an investment strategy around earnings events using equity and macroeconomic data for a hedge fund-focused analytics provider. Collaborated in a team of 6 to clean and analyse large financial datasets; applied machine learning models to identify predictive signals, with a focus on momentum-based factors. Improved risk-adjusted returns by ~30% through refined signal selection and iterative model evaluation; presented strategy and insig

Data Analytics Career Accelerator - Data Analytics - London School of Economics (2025-07 - 2026-03)

Post Graduate Certificate in International Business - International Business - St Mary's University, New York (2013-03 - 2014-03)

LLB - Law - Queen Mary University of London (2007-09 - 2010-06)

A Levels - General Education - Herschel Grammar School Consortium, Slough, UK (2005-09 - 2007-06)