Quantitative Systems Manager
DV Group, LLC
New York, New York
Offered Salary: $223,642.00 - $225,000.00
Lead a team of quantitative engineering staff and technical initiatives. Collaborate with traders, risk managers, and quantitative analysts to scope requirements for new applications. Coordinate with IT infrastructure teams to ensure system reliability and performance. Participate in system architecture reviews and technology selection processes. Develop and maintain real-time position and P&L monitoring systems. Architect scalable trading systems capable of handling high-volume, real-time market data and trade execution. Develop and maintain sophisticated commodity pricing models for futures and options including volatility surfaces. Develop and maintain robust risk measurement and monitoring tools including Value-at-Risk (VaR), Margin and scenario analysis. Develop automated trading interfaces and market data feed integrations. Create and maintain data warehouses for historical trade analysis and reporting.
Requirements
Must have a master’s degree in computer science, engineering, mathematics, finance, statistics, financial engineering or a related field. Must have three (3) years of experience as a research engineer, quantitative developer or related field. Must also have three (3) years of years of progressively more responsible post-baccalaureate experience with: Developing commodity pricing models, trading systems, and/or risk management platforms; Python for quantitative modeling and data analysis, multiple programming languages for diverse system development needs; Mathematical libraries (NumPy, SciPy, Pandas) and statistical software packages; Options pricing models, Monte Carlo simulation, and numerical methods; Machine learning frameworks (TensorFlow, scikit-learn) applied to commodity trading; Trading protocols, market data systems, and real-time pricing infrastructure; Commodity market research methodologies and data sources.
Qualified applicants should email their resume to [email protected] and reference code QS0625.
Benefits:
- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care Options
- Employer Paid Group Term Life and AD&D insurance
- Voluntary LTD, Life & AD&D insurance
- Flexible Vacation policy
- Retirement plan with employer match
DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
The range below reflects the expected base salary for this position. It represents a good-faith estimate of the base pay we anticipate offering, with actual compensation determined by your experience, education, skills, and performance throughout the interview process. This role is also eligible for a discretionary bonus (at DV Trading's discretion) and DV Trading's benefits package, including the benefits listed above.
Skills Required
- Master's degree in computer science, engineering, mathematics, finance, statistics, financial engineering, or related field.
- Three years of experience as a research engineer, quantitative developer, or related field.
- Three years of progressively more responsible post-baccalaureate experience developing commodity pricing models, trading systems, or risk management platforms.
- Proficiency with Python for quantitative modeling and data analysis.
- Experience with multiple programming languages for diverse system development needs.
- Experience with mathematical libraries and statistical packages (NumPy, SciPy, Pandas).
- Knowledge of options pricing models, Monte Carlo simulation, and numerical methods.
- Experience applying machine learning frameworks (TensorFlow, scikit-learn) to commodity trading.
- Familiarity with trading protocols, market data systems, and real-time pricing infrastructure.
- Experience with commodity market research methodologies and data sources.
What We Do
Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 350+ people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. We invest in exceptional individuals and empower them to realize their goals and make a lasting positive impact on our organization. Engaging a diverse group of talented people from different cultural, socioeconomic, and educational backgrounds helps provide us with a competitive advantage that drives our success.
