Sr Lead Software Engineer - Finance Technology - TCIO - Risk

Description for Internal Candidates
When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact.

You were made for this.

As a Senior Lead Software Engineer at JPMorgan Chase within Corporate Technology - Treasury & CIO (TCIO) team, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, and anticipate the needs and dependencies of Finance, Risk, Treasury, Quantitative Research, and Infrastructure.

Job 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.

Required qualifications, capabilities, and skills


* 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 ...