Chase · 19 hours ago
Sr Lead Software Engineer - Finance Technology - TCIO - Risk
880 Powder Mill Rd, Wilmington, DE, 19803, US
Full-time
Onsite
Senior Level, Lead/Staff
5+ years expJPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Senior Lead Software Engineer within the TCIO team, you will provide technical coaching and oversight for multiple teams, focusing on delivering solutions for Structural Interest Rate Risk and Asset-Liability Management.
BankingFinancial Services
Responsibilities
Provide overall direction, oversight, and coaching for teams of entry- to mid-level software engineers delivering solutions for Structural Interest Rate Risk (SIRR) and Asset-Liability Management (ALM) across banking book and investment portfolio
Provide accountability for decisions influencing resourcing, budget, tactical operations, and the execution of engineering processes and procedures across data, compute, and application layers
Ensure successful collaboration across stakeholders (Finance, Market Risk, Treasury, Quant, SRE, Data Platforms) to deliver secure, scalable, and well-controlled solutions
Identify and mitigate issues to execute the book of work; proactively escalate risks and drive remediation plans; enforce model input/output contracts and reproducibility for quant integrations
Provide input to leadership regarding budget, approach, and technical considerations (cloud adoption, data platform strategy, performance, resilience) to improve operational efficiencies and functionality
Create a culture of diversity, inclusion, mentorship, and thought leadership; set engineering standards (design docs, code reviews, testing, observability) and prioritize diverse representation
Qualification
Required
Formal training or certification on software engineering concepts and 5+ years applied experience
Extensive software engineering experience and leading teams of technologists delivering production systems at scale
Experience leading multiple teams; ability to guide and coach on achieving goals aligned to strategic initiatives and regulatory timelines
Proven track record hiring, developing, mentoring, and recognizing engineering talent; builds clear technical ladders and career paths
Strong domain expertise in SIRR and ALM: DV01, BPV, duration/convexity, yield curve construction, EVE vs EaR, FTP/base rate curves, NII attribution; banking book vs investment portfolio nuances (NMDs, behavioral models, prepayment, securities, hedging)
Stress testing and scenario design: parallel shifts, steepeners/flatteners, basis risk, idiosyncratic shocks; translating financial requirements into technical roadmaps
Quant model integration competence: interface with models on shared compute platforms; define/enforce model I/O contracts, versioning, reproducibility; orchestrate batch/near-real-time runs; partner with quants on calibration, validation, back testing
Scalable architecture and coding: AWS (S3, IAM, Lambda, ECS/EKS, Step Functions, CloudWatch), Databricks/Spark (PySpark/Scala, Delta Lake, Unity Catalog, performance tuning), Python and Java (Spring Boot microservices, RESTful APIs), eventing/streaming (Kafka), workflow orchestration (Airflow/Step Functions); design for reusability (libraries, SDKs, shared services), backward-compatible APIs/versioning
Data engineering for risk platforms: time-series/panel data models, schema evolution, late-arriving data handling, idempotent processing; data quality controls (validations, reconciliations, lineage, audit trails), golden-source alignment; performance/reliability (SLAs, retries/backoff, checkpoints, state management)
Practical cloud-native experience and expertise across core technology disciplines; degree in Computer Science, Engineering, Mathematics, or related field
Preferred
Experience producing high-quality code and design at a senior level; sets standards, reviews designs, and drives technical direction
AI/ML enablement for anomaly detection, forecasting (NII/liquidity), and data quality signals; MLOps (feature stores, model registries, CI/CD for models, drift monitoring, explainability)
Controls, compliance, and operability: change management, segregation of duties, SOX-ready evidence, production runbooks; back testing frameworks/challenger models; observability (logging/tracing/metrics), incident response, and postmortems
Delivery mindset: de-risking with phased approaches, feature toggles, robust test environments; measures outcomes (latency, throughput, cost per run, data quality KPIs, incident reduction)
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
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