Quantitative Trading Tools Engineer (Energy Markets)

Tradermath; New York (NY); On-site; USD 160,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

HSA, FSA, and Dependent Care Options

Retirement plan with employer match

Discretionary bonus eligibility

Flexible vacation policy

Job summary

DV Trading, LLC is seeking 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.

You will collaborate with traders, quants, and other engineers to build backtesting frameworks, signal research, and strategy monitoring, while

Qualifications

• 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.

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.

Skills

Python

Statistics

SQL

Data pipelines

Data visualization

Unix

Git

Docker

Kafka

C++/Java

Machine learning

Education

Bachelor's degree in CS/Engineering/Math/Physics

Tools

Plotly/Dash

Streamlit

Grafana

Airflow

Luigi

Job description

DV Trading, LLC is seeking 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.

You will collaborate with traders, quants, and other engineers to build backtesting frameworks, signal research, and strategy monitoring, while