We are looking for strong software engineer passionate about technology and financial markets to join our Quant Strat teams in New York to work closely with the Quantitative Investment Strategy desk.
The Quant Strat team applies specialist methods from mathematics, science and engineering to generate revenue. The focus is on derivatives valuation and risk, automated trading and execution, data-driven decision-making, and pushing new areas of growth.
Working on the trading floor, your role will consist in expanding our Index products offering by implementing new systematic trading strategies, supporting the Quant Investment Strategies desk day-to-day, and developing/maintaining cutting-edge multi-assets trading and risk management applications.
location: New York, New York
job type: Permanent
work hours: 8am to 4pm
education: Bachelors
responsibilities:
We are looking for strong software engineer passionate about technology and financial markets to join our Quant Strat teams in New York to work closely with the Quantitative Investment Strategy desk.
The Quant Strat team applies specialist methods from mathematics, science and engineering to generate revenue. The focus is on derivatives valuation and risk, automated trading and execution, data-driven decision-making, and pushing new areas of growth.
Working on the trading floor, your role will consist in expanding our Index products offering by implementing new systematic trading strategies, supporting the Quant Investment Strategies desk day-to-day, and developing/maintaining cutting-edge multi-assets trading and risk management applications.
Required knowledge, skills, and abilities include:
- strong computer science foundations and programming skills in Python, and a demonstrable passion for technology and engineering excellence
- Proficient with a range of open-source frameworks and development tools e.g. Numpy, Pandas, SciPy, etc.
- Genuine interest in financial markets and desire to work closely with the Trading, Structuring and Sales desks
- strong analytical and problem-solving abilities alongside intellectual curiosity, self-motivation and great communication and collaboration skills
- strong academic achievements, ideally a relevant university degree in quantitative disciple (e.g. computer science, maths, physics or engineering)
- Knowledge of C++ is an advantage
- Experience building and maintaining front office risk and pricing systems
- Experience with cloud technologies like AWS, Kubernetes
qualifications:
- Experience level: Experienced
- Minimum 4 years of experience
- Education: Bachelors (required)
skills:
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information
