Commodities Desk Developer (Quant Focus) - New York

[Recruiter-Jim]

Commodities Desk Developer (Quant Focus) - New York

About the Role:
Dive headfirst into the exciting world of commodities trading! We're searching for a skilled and adaptable Desk Developer with a strong quantitative mindset. You'll be embedded within a trading desk – power, gas, or oil – and become a key player in their success. Your mission: to design, develop, and implement Python-powered tools and models that uncover hidden patterns and predict supply and demand imbalances.

Responsibilities:

• Develop and maintain quantitative models tailored to the specific needs of your assigned trading desk. This includes pricing models, risk management tools, and strategies to identify market imbalances.
• Collaborate closely with traders to understand their unique requirements and translate them into robust, efficient applications.
• Design and implement Python-based applications for data analysis, visualization, and reporting, customized for your desk's specific needs.
• Wrangle big data. Analyze massive datasets of market data, fundamental data, and alternative data sources to uncover valuable insights.
• Build predictive models for supply and demand analytics, price forecasting, and risk assessment within your assigned commodity market.
• Harness the power of cloud computing platforms for scalable data processing, model deployment, and application hosting.
• Stay ahead of the curve. Keep up-to-date with the latest advancements in quantitative finance, commodity markets, and technology.

Qualifications:

• Strong academic background in a quantitative field such as mathematics, physics, engineering, or computer science.
• 3-10 years of proven experience in developing and implementing quantitative models, ideally within the financial sector.
• Expert-level Python skills and proficiency with relevant libraries (NumPy, Pandas, Dask) for data analysis and manipulation, with a strong emphasis on vectorized calculations for optimized performance.
• Hands-on experience with big data technologies (e.g., Spark, Hadoop) and cloud computing platforms (e.g., AWS, Azure, GCP).
• Excellent communication and interpersonal skills. You'll need to clearly explain complex technical concepts to traders and collaborate effectively.
• Strong problem-solving abilities and a proactive, results-oriented mindset.

Bonus Points:

• Experience with time series analysis, causal inference.
• Familiarity with trading systems.
• Knowledge of energy markets.

The interview will be on:

• Algorithms and Data Structures.
• Distributed Computing and Dask.
• Python Fundamentals.
• Statistics and Time Series.

Comp: $200k Base + Bonus. (historically this has been 1-2 x the base).

 

[MikeLawrence]

A pure QD position with 1-2x(base) bonus is very rare, right guys?

I'm still a student and I'm under qualified regardless- bump for exposure.

 

[Paul Lopez]

A pure QD position with 1-2x(base) bonus is very rare, right guys?

I'm still a student and I'm under qualified regardless- bump for exposure.

I'd even think about it