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 troubleshootingGuide the development of secure, high-quality production code and review and debug code written by othersIdentify and implement opportunities to automate or eliminate recurring issues for improved operational stabilityLead evaluation sessions with vendors, startups, and internal teams to assess technical solutionsDrive outcomes-oriented probing of architectural designs and technical credentialsChampion communities of practice to promote awareness and adoption of new technologiesFoster a team culture of diversity, equity, inclusion, and respect

Required Qualifications, Capabilities, and Skills:

Applied expertise in front-end development and web technologies: REACT, JavaScript, TypeScript, CSS, Vite, NodeExperience 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 experienceHands-on experience in system design, application development, testing, and operational stabilityProficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, application resiliency, and securityDemonstrated proficiency in software applications and technical processes within a technical disciplineKnowledge of the financial services industry and IT systems

Preferred Qualifications, Capabilities, and Skills:

Financial background, CFA, FRM, MBA in Finance, Financial Engineering degree, or risk management knowledgeExperience in strategic asset allocation using optimizers such as GurobiExperience porting MATLAB code into Python

Why Join Us?
Lead a team that values innovation, collaboration, and continuous growth. You’ll have the opportunity to work on impactful projects, expand your technical expertise, and contribute to a culture that celebrates diversity and inclusion.