This is a hands-on delivery role that explicitly combines Technical Business Analysis and Engineering/Development. You will own outcomes end-to-end: partner with Liquidity Risk and Treasury stakeholders to shape requirements and controls, then personally work in the data and code (SQL/Python/Unix) to build, validate, and release solutions into production.
What You’ll Deliver:
You will lead and implement technology initiatives that support Liquidity Risk Management capabilities such as cash positioning, funding and maturity profiles, collateral/margin impacts, liquidity metrics, stress testing/scenario outputs, limits/threshold monitoring, and internal/regulatory-oriented reporting, with strong data lineage, controls, and auditability.
Key Responsibilities:
End-to-End Delivery & Stakeholder Leadership
- Lead delivery of Liquidity Risk technology enhancements and new onboarding/integration initiatives across Liquidity Risk, Treasury/Funding, Finance, Operations, and IT.
- post-implementation validation.
- Serve as the primary point of contact for scope, priorities, dependencies, and issue resolution; communicate status and risks clearly to senior stakeholders.
- Contribute to delivery standards/best practices; mentor junior team members as needed.
Hands-On Engineering: Data, Code, and Production Readiness
- Develop and optimize advanced SQL to support liquidity metric calculations, exposure/aggregation views, reconciliations, controls, and drill-down diagnostics (joins, CTEs, window functions; performance tuning concepts).
- Build Python tooling for data transformation, automation, monitoring/diagnostics, and analytical workflows (pandas/batch patterns preferred).
- Use Unix/Linux and shell scripting to support batch processes, operational tooling, and production support diagnostics.
- Perform root-cause analysis for data/metric/reporting breaks (mappings, identifiers, cutoffs/timing, model assumptions/inputs) and drive remediation to closure.
Liquidity Data Enablement: Cash, Funding, Collateral & Flows
- Analyze and validate core liquidity inputs including cash balances, settlement/payment flows, secured/unsecured funding, collateral movements, margin, and maturity profiles.
- Define and implement mappings and controls from upstream sources (e.g., Treasury platforms, GL/subledger, payments, collateral/margin systems, market/security master where needed) to downstream consumers (liquidity risk engines, stress pipelines, dashboards, internal reporting).
- Build reconciliations and exception monitoring for cash positions, funding balances, and flow projections, including completeness checks and end-of-day cutoff logic.
Liquidity Metrics, Stress Testing & Reporting Traceability