Lead Software Engineer - Full-Stack REACT/Python Developer
Role details
Job location
Tech stack
Job description
Step into a leadership role where you shape the future of analytics and technology. You'll guide a talented team, push boundaries, and accelerate your career growth. We value your creativity, collaboration, and drive to solve complex challenges. As a leader, you'll deliver innovative solutions supporting a wide range of asset classes. Experience an environment that encourages continuous learning and empowers you to make a lasting impact.
As a Lead Software Engineer in the Business Intelligence and Analytics Tech team, you will lead the design and development of advanced analytic solutions for our Portfolio Optimization application. You will collaborate with agile teams to deliver secure, scalable, and high-quality technology products. Your leadership will support both internal and external clients across asset classes such as Equities, Fixed Income, and Multi-Assets. You will foster a culture of innovation, inclusion, and technical excellence, driving the team's success and supporting the firm's business objectives.
Job Responsibilities:
- Lead the execution of creative software solutions, design, development, and technical troubleshooting
- Guide the development of secure, high-quality production code and review and debug code written by others
- Identify and implement opportunities to automate or eliminate recurring issues for improved operational stability
- Lead evaluation sessions with vendors, startups, and internal teams to assess technical solutions
- Drive outcomes-oriented probing of architectural designs and technical credentials
- Champion communities of practice to promote awareness and adoption of new technologies
- Foster a team culture of diversity, equity, inclusion, and respect
Requirements
- Applied expertise in front-end development and web technologies: REACT, JavaScript, TypeScript, CSS, Vite, Node
- Experience developing server-side applications and REST APIs in Python (ideally Flask)
- Practical cloud native experience (e.g., AWS Cloud)
- Formal training or certification in software engineering concepts and advanced applied experience
- Hands-on experience in system design, application development, testing, and operational stability
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
- Demonstrated proficiency in software applications and technical processes within a technical discipline
- Knowledge of the financial services industry and IT systems, * Financial background, CFA, FRM, MBA in Finance, Financial Engineering degree, or risk management knowledge
- Experience in strategic asset allocation using optimizers such as Gurobi
- Experience porting MATLAB code into Python