VP Quantitative Python Developer - New York
A top-tier investment bank based in New York City is looking for a mid-senior level quant developer to join their dynamic quantitative team. The vacancy that they are looking to fill at the moment is a Vice President level role doing quantitative development mostly with Python and valuation and risk model implementation alongside senior developers. This is a greenfield QD team with a unique chance to interface with buy side clients and really roll your sleeves up with daily python dev work. This firm offers the ideal scenario for anyone who is looking for a challenging role that will expose them to a dynamic team environment and opportunity for career progression.
Responsibilities will include:
- Developing and designing cross-asset frameworks that are both efficient and scalable to be implemented across all quantitative research teams.
- Communicating expert guidance to desk quant teams in implementing frameworks for the optimization of code and other day-to-day business processes.
- Implementation, debugging, development and supporting risk and valuation models to be used by external frameworks
- Work on some of the most complex problems imaginable at the intersection of two dynamic industries: finance and technology
Ideal candidates should possess:
- 5+ years of experience in a quantitative development or software engineering roles
- Degree in a quantitative field, e.g. computer science, mathematics, engineering, or physics
- Outstanding problem-solving skills
- Prior experience in designing and developing software and algorithms
- Passionate and experienced in writing high quality code in Python
- Experience working in pricing libraries and risk management systems
- Knowledge of finance or quantitative finance is desirable
- Excellent oral and written communication skills
If there is an interest, please click the APPLY NOW button below.
