Back
Mid-level senior title, metro location, and generalist software label drive high applicant competition.
Requires quant risk and trading derivatives experience, limiting transferability across industries.
Mandatory 4+ years in quant risk plus Python and trading experience makes shortlisting highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Architect and build next-generation risk solutions and tools for institutional customers and internal teams.
Develop, maintain, and enhance risk management infrastructure and processes focused on speed, accuracy, and reliability.
Provide technical mentorship to teammates supporting risk solutions.
Bachelor's degree in Computer Science, Electrical Engineering, Financial Engineering, Mathematics, Physics, or related field.
Minimum 4 years professional experience in quantitative risk roles within trading environments such as hedge funds or banks.
Proficiency in Python programming, Linux/AWS environments, and software engineering involving object-oriented design and distributed architectures.
Experience with risk management and knowledge of financial products including derivatives.
Experienced quantitative risk engineer with strong domain expertise in trading risk management in financial institutions.
Technical operator skilled in building scalable, robust, performant risk solutions using Python and distributed systems.
Capable mentor with sense of ownership, able to collaborate closely with risk teams to evolve technology stacks in a fast-paced environment.