DV Trading
Fintech & PaymentsDirect Greenhouse career site

Quantitative Software Engineer (DV Commodities)

Pay
$160,000 – $190,000 per year
Location
New York City, NY · On-site
Job type
Full-time
Level
Mid-level
Experience
2+ years
Education
Bachelor's degree
Listed
22 days ago

Skills & highlights for this role

  • Python
  • statistics
  • time series analysis
  • SQL

Also useful

  • Kafka
  • Docker
  • Airflow
  • machine learning

Stated benefits & perks

  • Medical
  • Dental
  • Vision
  • Flexible vacation

Overview

DV is looking for a software engineer with a quantitative mindset to join a small team building the tools that power our commodities trading. You will work directly with traders and quants to turn ideas into production-grade quant trading tools, fundamental analysis models, and analytics, and you will own them from prototype through daily use.

Job Responsibilities

  • Work alongside traders, quants and other engineers to build quant trading tools, including signal research, backtesting frameworks, and strategy monitoring
  • Develop and productionize fundamental models for energy markets, such as supply/demand balances, inventory and flow analysis, and curve and spread models
  • Build analytics and visualization tools that give traders clear, timely views of markets, positions, and PnL drivers
  • Design data pipelines that ingest, clean and store market, fundamental, and alternative data from internal and third-party sources
  • Create efficient storage and access schemes for time series, reference, and fundamental data
  • Integrate models and tools with our event-based risk, market data and pricing platform
  • Test, monitor and document models and tools, and iterate quickly based on trader feedback

Requirements

  • Bachelor's degree or higher in CS, Engineering, Mathematics, Statistics, Physics or another quantitative discipline
  • 2+ years professional experience building quantitative trading tools, models, or analytics in a financial or commodities setting
  • Strong Python skills in a scientific computing environment (numpy, pandas, scipy, statsmodels or similar)
  • Solid grounding in statistics, time series analysis, and data modeling; machine learning experience is a plus
  • Experience building data pipelines and working with large data sets * Experience with SQL, NoSQL or tick databases
  • Experience with data visualization and dashboarding tools (e.g., Plotly/Dash, Streamlit, Grafana)
  • Strong knowledge of algorithms, design patterns, and OOP; Java or C++ is a plus
  • Experience working in a Unix environment and git
  • Familiarity with Kafka, Docker, Airflow, or Luigi
  • Strong communication skills in verbal and written English, with the ability to work closely with traders
  • Domain knowledge in energy markets, futures and swaps is a plus

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.

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.

Base Salary Range $160,000—$190,000 USD

About Us

DV Trading, LLC is a proprietary trading firm with over 200 employees trading equities, fixed income, FX and commodity products. DV Commodities is a rapidly growing division that specializes in trading crude oil, refined products, natural gas, and other commodities across US, European, and Asian markets. Our combined risk management, world class technology, and human capital have enabled us to become one of the largest liquidity providers within the global energy complex.

Read the original posting

From DV Trading's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Quantitative Software Engineer (DV Commodities) role at DV Trading?

The Quantitative Software Engineer (DV Commodities) posting at DV Trading states compensation of $160,000 – $190,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on DV Trading's official career site.

Where is the Quantitative Software Engineer (DV Commodities) job at DV Trading located?

This Quantitative Software Engineer (DV Commodities) position at DV Trading is located in New York City, NY (On-site). Always check DV Trading's application page for specific state eligibility or relocation policies.

What qualifications are required for Quantitative Software Engineer (DV Commodities) at DV Trading?

For the Quantitative Software Engineer (DV Commodities) role, DV Trading highlights 2+ years of relevant experience; a bachelor's degree; experience with Python, statistics, time series analysis, SQL. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Quantitative Software Engineer (DV Commodities) position at DV Trading?

This listing links directly to DV Trading's Greenhouse application page. You can apply directly on DV Trading's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.