Quantitative Software Engineer (DV Commodities)

New Yorkfull timeOn Site

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entry

$160k–$190k

H1B: no

Dvtrading Quantitative Software Engineer at DV Trading to build and productionize quant trading tools and fundamental models for energy markets. Collaborate with traders and quants to develop analytics, data pipelines, and integrate models with risk and pricing platforms.

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

Qualification

Bachelor’s degree or higher in CSSolid grounding in statisticsStrong knowledge of algorithmsFamiliarity with KafkaDomain knowledge in energy marketsMachine learning experienceJava or C++

Required

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

Preferred

Machine learning experience
Java or C++
Familiarity with Kafka, Docker, Airflow, or Luigi
Domain knowledge in energy markets, futures and swaps

Benefits

Dental
Vision
Life Insurance

Company

Dvtrading

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Source: greenhouse

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Quantitative Software Engineer (DV Commodities) at Dvtrading · LumiJobs