Senior Quantitative Developer

Job Description

We are seeking an experienced Senior Quantitative Developer who is looking for a new challenge within the financial technology industry. You will work alongside a team of seasoned developers, technologists, and quantitative professionals with deep expertise in financial markets, financial modeling, and analytics.

Responsibilities Develop and implement quantitative models and software applications to process and analyze real-time financial market data in a high-performance computing environment. Maintain and optimize existing software applications while identifying opportunities for improvement. Write technical specifications, project plans, and documentation; translate business requirements into functional requirements and implementation plans. Regularly communicate with senior leadership and technical stakeholders. Process, collect, and analyze financial market datasets, including high-frequency pricing and reference data. Monitor and enhance the quality of analytical data generated by applications; collaborate with reference data teams to onboard and manage data sources. Partner with Product Management and Business Development teams to create technical documentation, specifications, project plans, and supporting sales materials.

Skills and Requirements

Experience Local to Chicago, Kansas City, or New York Minimum 5 years of financial markets experience, including market data, reference data, risk, or related domains. Quantitative STEM background with strong interest in financial markets, derivatives pricing, quantitative modeling, and risk analytics. Experience with financial derivatives modeling, corporate actions, securities, and derivatives reference data, including futures and options. Strong programming skills in Java and/or C++, SQL proficiency, and experience with Python, NumPy, R, MATLAB, or similar tools used for scientific computing and data analysis. CUDA experience is preferred. Strong understanding of statistical techniques including Bayesian modeling, hypothesis testing, linear regression, principal component analysis (PCA), tree-based models, and time-series methodologies such as GARCH. Strong attention to detail and an analytical mindset with the ability to translate insights into action. Ability to work independently and take ownership of projects from concept through production release. Experience developing requirements, performing QA testing, maintaining documentation, and supporting deployment activities. Ability to manage multiple priorities in a deadline-driven environment. Strong communication and collaboration skills within a global team environment. Education

Bachelor's degree required. Master's degree or PhD in a STEM-related field is highly preferred.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].