Senior Lead Software Engineer - Full Stack / AI

About the role

As a Lead Software Engineer in Commercial and Investment Bank's Treasury Technology, you will lead the build-out of an end-to-end data platform to manage Capital, Liquidity, Balance sheet, Funding, and billing (Transfer pricing). You will develop and enhance applications critical to the business, working closely with Treasury, Finance, Trading, Sales, and Quantitative Research teams. Your expertise in Python and agentic development will drive automation and innovation. This role offers the chance to make a meaningful impact in a fast-paced, collaborative environment on a global platform.

Responsibilities

• Full-stack development of UI Dashboard in React/TypeScript and servers in the Python stack.
• Deliver data pipelines and ETL on data platforms such as Databricks and Snowflake.
• Execute software solutions, design, development, and technical troubleshooting.
• Ensure large language models (LLMs)—including models such as Claude, ChatGPT, and comparable enterprise-approved models—are used as controlled, well-understood components of the software engineering lifecycle.
• Lead the use of LLMs for structured requirements analysis, including translating business and regulatory requirements into clear technical specifications.
• Establish best practices for prompt-driven design and development, treating prompts as versioned, reviewable engineering artifacts.
• Ensure prompt strategies support determinism, reproducibility, and traceability in regulated environments.
• Ensure LLM-driven systems meet enterprise reliability and resilience expectations.
• Supervise how LLM-assisted and agent-driven development is performed, ensuring model strengths, limitations, and risk profiles are understood, documented, and appropriately applied.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support).
• Establish consistent validation standards (secure coding, peer review, automated testing) and promote reuse of effective patterns across the team.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve value realized by automation.

Requirements

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Strong Python skills and familiarity with agentic development (ADLC).
• Demonstrated engineering leadership, architecture, and stakeholder management skills.
• Database design and modeling on modern data platforms (Databricks, Snowflake).
• Hands-on experience using co-pilot or Claude-code to design and deliver end-to-end applications.
• Working understanding of multi-public cloud; exposure to AWS Cloud.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Experience in Risk and PnL in Markets.
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Preferred Qualifications

• Experience in Risk and PnL in Markets.
• Knowledge of Financial Markets and Products (Fixed Income, Derivatives) and Treasury concepts.

Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more.