Lead Software Engineer - Risk Technology at JPMC Candidate Experience page

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

0.0

Posted On

13 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Object-Oriented Design, Financial Risk Management, AI-Assisted Engineering, SDLC, Data Pipelines, PnL Attribution, Distributed Systems, CI/CD, Containerization, NoSQL, Relational Databases, Quantitative Finance, Market Risk Measures, Agentic AI, Software Architecture

Industry

Financial Services

Description

We are seeking an experienced Senior Python Developer to join our Athena Rates development team to work on a Risk and PnL delivery for Rate Line of Business. In this role, you will design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products. You will work at the intersection of technology and finance, delivering high-impact systems that enable critical risk management and profit & loss analysis for our trading operations. As a Senior Python Developer on our team, you will build and maintain robust software solutions for rates trading activities. You will collaborate closely with quantitative analysts, traders, risk managers, and Equities technology teams to integrate systems across middle and back office processing. Your work will directly support trading operations across multiple Rates product types starting with Swap Derivative products and Options products. Job responsibilities * Develop scalable, performant code that handles large volumes of market data and complex financial calculations. This includes implementing risk metrics, PnL attribution frameworks, and data pipelines that connect trading systems with downstream consumers. * Participate in architectural decisions, code reviews, and technical design sessions, contributing your expertise to shape the evolution of this automated risk platform. * Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. * Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 5+ years applied Python experience * Bachelor’s Degree in Computer Science or equivalent * Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices * Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases * Strong verbal and written communication skills with ability to articulate technical concepts to both technical and non-technical stakeholders * Proven ability to gather requirements from business users and collaborate across multiple teams and functions * Capability to translate business needs into technical solutions and explain technical constraints in business terms * Willing to understand and work on legacy applications when required * Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. * Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. * 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, capabilities, and skills * Prior experience with other financial risk stack platforms such as SecDB, Quartz, or Athena * Strong preference for candidates with financial services background * Knowledge of rates products including Swaps, Securities, Options, and Repo * Familiarity with risk methodologies and PnL calculation frameworks * Experience with distributed systems and real-time data processing * Proficiency with relational and NoSQL databases * Knowledge of modern development practices including CI/CD pipelines and containerization * Exposure to quantitative finance concepts and market risk measures * Understanding of regulatory reporting requirements in financial services * Working knowledge of usage of Agentic AI in Software analysis , development and testing J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Responsibilities

Design and develop scalable Python solutions for Risk and PnL delivery within the Rates Line of Business. Lead the adoption of AI-assisted engineering practices to improve code quality and operational outcomes for trading operations.