ALM Transformation Lead - Assistant Vice President

Overview

Senior Analyst contributor role within Treasury's Asset Liability Management team, leading the end-to-end modernization of the ALM operating model: migrating spreadsheet-intensive processes onto a cloud-powered, BI-driven platform anchored by QRM as the central calculation engine.

What you'll do

• Lead the migration of Excel-based ALM calculations into QRM, including NII simulation, EVE sensitivity, gap analysis, and liquidity stress testing.
• Own the implementation of the QRM Publish to MR functionality, designing the data flow from QRM outputs back to input transactional data to create a structured, governed time-series dataset on cloud.
• Explore and deploy QRM's attribution walk modules for NII and EVE, enabling waterfall analysis from base to target positions for senior management reporting.
• Manage the end-to-end QRM environment including scenario libraries, behavioural model inputs, repricing terms, and rate assumptions, ensuring all inputs are sourced from the single unified data layer.
• Partner with Data and IT functions to design and execute the migration of QRM time-series outputs to cloud storage.
• Define the data architecture that stitches QRM outputs to input transactional data in the cloud, enabling full lineage, audit trail, and automated refresh.
• Establish and govern the single source of truth for ALM data, ensuring all downstream reporting, BI tools, and risk systems consume from one authoritative, reconciled dataset.
• Deploy Power BI dashboards on top of structured QRM outputs and cloud-hosted time-series data, replacing manual Excel-heavy reporting workflows.
• Drive the productionalisation of the Treasury Management Dashboard, expanding coverage across ALM, Liquidity, CIO, and Capital functions.
• Build self-service reporting capability so analysts can drill into any metric by product, segment, currency, or maturity bucket without IT dependency.
• Produce NII and EVE attribution analysis that explains rate risk movements driver-by-driver, linking risk metrics directly to commercial margin outcomes.
• Develop time-series analytics and trend reporting to support ALCO and board-level decision making, earnings preparation, and regulatory stress-test readiness.
• Tie interest rate risk reporting to commercial margin metrics on the asset and liability sides of the balance sheet.
• Present progress and outcomes directly to the Treasurer, ALCO, and senior management, translating technical developments into business impact.
• Manage relationships with QRM vendors, cloud infrastructure teams (DART/IT), and BI platform owners.
• Track and report against audit findings, MRM items, and model risk governance requirements within the Treasury Management Dashboard.
• Support headcount planning, IT budget management, and implementation milestone tracking.

What you'll need

• 8 to 10 years of experience in Asset & Liability Management, Treasury, or interest rate risk at a bank, custodian, or financial institution.
• Bachelor's degree in finance, Economics, Mathematics, Engineering, or a related quantitative field.
• Hands-on experience with QRM (Quantitative Risk Management) including model configuration, scenario design, and NII/EVE simulation.
• Demonstrated experience leading or materially contributing to an ALM or treasury technology transformation, rebuilding or modernizing an existing model.
• Experience designing or working with cloud-based data architectures for financial risk data (Azure, AWS, or GCP data lake environments).
• Ability to take a highly technical QRM output or cloud architecture and communicate the business impact clearly to a Treasurer, CFO, or ALCO board.
• Track record of deploying BI tools (Power BI, Tableau, or equivalent) on large financial datasets to replace manual Excel-driven reporting.
• Experience owning a transformation programme end-to-end, from requirements definition through build, parallel run, sign-off, and decommissioning of legacy processes.
• Familiarity with regulatory frameworks including IRRBB (BCBS 239), LCR, NSFR, and internal stress testing requirements.
• Surfaces issues early, manages stakeholder expectations transparently, and produces clear written materials for senior audiences.
• Works effectively across ALM, Liquidity, CIO, and Capital functions as well as IT, Data, Modeling, Risk, Audit, QRM vendor, and BI platform teams.

Nice to have

• CFA, FRM, or equivalent professional qualification.
• Ideally experience with QRM Publish to MR or attribution modules.

Details

• Location: Bangalore, India.