1 month ago
Base Salary
$175k - $225k/yr
Responsibilities
- Lead delivery of Liquidity Risk technology enhancements and onboarding or integration initiatives across Liquidity Risk, Treasury/Funding, Finance, Operations, and IT.
- Own the lifecycle from requirements discovery and data mapping through solution design, build, testing/UAT, release, and post-implementation validation.
- Develop and optimize advanced SQL for liquidity metrics, exposure and aggregation views, reconciliations, controls, and diagnostics.
- Build Python tooling for data transformation, automation, monitoring, diagnostics, and analytical workflows.
- Use Unix/Linux and shell scripting to support batch processes, operational tooling, and production diagnostics.
- Analyze liquidity inputs including cash balances, payment flows, funding, collateral, margin, and maturity profiles, and implement upstream-to-downstream mappings and controls.
- Build reconciliations, exception monitoring, completeness checks, and end-of-day cutoff logic for cash positions, funding balances, and flow projections.
- Enhance analytics pipelines for liquidity buffers, survival horizon, cash-flow ladders, concentration, encumbrance, funding mix, and stress or scenario impacts.
- Ensure traceability from source data through transformations, liquidity metrics, and reports with audit-ready evidence and reproducibility.
- Produce requirements, technical specifications, solution designs, data dictionaries, mappings, test plans, validation evidence, and release notes.
- Manage user stories and defects in JIRA, define acceptance criteria, partner with QA/UAT, and support sign-off under change control.
- Serve as the primary point of contact for scope, priorities, dependencies, issue resolution, stakeholder communications, and delivery risks.
- Mentor junior team members and contribute to delivery standards and best practices.
Requirements
- 5+ years of experience for a senior consultant profile or 7+ years at VP level in a developer/technical business analyst hybrid, Technical BA, Risk IT Analyst, or engineering role with significant delivery ownership in financial services.
- Demonstrated experience delivering production systems involving risk, Treasury, or Finance data and complex cross-team dependencies.
- Advanced SQL experience with complex querying, tuning, reconciliation, and data-quality patterns on enterprise relational databases such as Oracle, SQL Server, or PostgreSQL.
- Python experience for automation, analysis, data transformation, monitoring, and pragmatic reliability tooling, with pandas or batch-pattern experience preferred.
- Unix/Linux command-line and shell-scripting experience supporting batch cycles, cutoffs, restarts, and operational diagnostics.
- Strong understanding of data modeling and data lineage across multiple upstream and downstream systems.
- Experience with SDLC discipline, JIRA, testing/UAT, release execution, and production support.
- Strong knowledge of Liquidity Risk Management and Treasury concepts including cash positioning, funding sources and maturities, rollovers, concentration, cash-flow forecasting and laddering, settlement and payment flows, collateral, margin, encumbrance, stress testing, scenarios, limits, and monitoring.
- Experience with liquidity risk systems, Treasury platforms, or liquidity reporting frameworks is strongly preferred.
- Bachelor’s degree in Computer Science, Business, Engineering, Finance, Data Science, or a related discipline, or equivalent experience.
- Experience with REST APIs, authentication and error handling, pagination, file-based feeds, SFTP, CSV, JSON, XML, and message-based integration patterns.
- Experience with Git, CI/CD concepts, AWS, Azure, GCP, Snowflake, and data lake or data warehouse concepts.
- Experience with Tableau, Power BI, SSRS, advanced Excel, and MS Project or similar planning tools.
Benefits
- Full-time position.
- Primary location is specified in the posting.
- Salary range is $175,000-$225,000.
Tech Stack
Categories
Data Engineering
