Junior Quantitative Developer at Engelhart | New York, New York, USA | Rezi

Junior Quantitative Developer at Engelhart

Junior Quantitative Developer

Engelhart · New York, New York, USA

1 weeks ago

Junior Quantitative Developer

Engelhart · New York, New York, USA

8 days ago
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About the Role

We are seeking a Junior Quantitative Developer to join our Quantitative Research & Development team, supporting our West Power Trading and Carbon desks. This role offers an excellent opportunity for an early-career professional to solve complex problems at the intersection of software engineering, mathematics, and commodity markets, gaining exposure to dynamic energy trading while contributing to trading strategies, pricing, risk management, and market analysis.

Responsibilities

  • Support the West Power and Carbon trading desks by working closely with quant researchers to productionize, optimize and support ML-based models relied upon by traders and analysts.
  • Enhance and maintain cloud-based infrastructure utilized by quant researchers and analysts to prototype and test new quant models.
  • Contribute to the automation of trading and operational processes to improve efficiency and reliability.
  • Monitor and troubleshoot production systems and respond to issues impacting trading activities.
  • Work closely with colleagues across New York, Stamford and Houston within a collaborative, fast-paced trading environment.

Requirements

  • A bachelor’s degree in a STEM subject, or a related quantitative field from a premier academic institution.
  • Two to four years of hands-on experience.
  • Strong practical skills with Python (e.g. pandas/numpy/plotly/Jupyter).
  • Solid understanding of algorithms, data structures, and software engineering best practices.
  • Proficient with object-oriented design and programming.
  • Knowledge of probability, statistics, linear algebra, and numerical methods.
  • Experience building analytics dashboards using frameworks like Dash.
  • Experience working with SQL and large datasets.
  • Strong analytical and problem-solving skills with excellent attention to detail.
  • Effective communication skills and the ability to work with both technical and commercial stakeholders.
  • A proactive mindset with a willingness to take ownership and continuously improve processes.
  • A bachelor’s, master’s, or Ph.D. in Computer Science/Math/Statistics/Physics from a premier academic institution.
  • Comfortable with cloud platforms, preferably AWS, and experience with developing cloud-native microservices, stateless architecture, data object stores, containers, event-based triggers, queues, stream processing, etc.
  • Familiarity with time series analysis, forecasting techniques, or optimisation methods.
  • Experience building AI agentic workflows to retrieve/process data.
  • Exposure to energy, commodities, or financial markets.
  • Understanding of power markets, emissions markets, or energy systems.

Skills

  • Python
  • pandas
  • numpy
  • plotly
  • Jupyter
  • algorithms
  • data structures
  • software engineering best practices
  • object-oriented design
  • object-oriented programming
  • probability
  • statistics
  • linear algebra
  • numerical methods
  • Dash
  • SQL
  • large datasets
  • analytical skills
  • problem-solving skills
  • attention to detail
  • communication skills
  • AWS
  • cloud-native microservices
  • stateless architecture
  • data object stores
  • containers
  • event-based triggers
  • queues
  • stream processing
  • time series analysis
  • forecasting techniques
  • optimisation methods
  • AI agentic workflows
  • energy markets
  • commodities markets
  • financial markets
  • power markets
  • emissions markets
  • energy systems

Location

  • New York City

Work Type

  • On-site (4 days per week)
  • Full-time

Experience Level

  • Junior
  • Early-career
  • Two to four years of hands-on experience

Education Level

  • Bachelor’s degree in a STEM subject or related quantitative field
  • Bachelor’s, Master’s, or Ph.D. in Computer Science/Math/Statistics/Physics

Salary/Compensations

  • $150,000 to $180,000 USD

Benefits

  • Discretionary annual bonus
  • 20 days of annual holiday entitlement, excluding US public holidays
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • 401(k) match
  • Supplemental benefits partially subsidized by the Company
  • External and internal training

About the Company

  • Engelhart was founded in 2013 as a commodities trading company with an "asset light" and highly diversified business model, enabling adaptation to changing market conditions through advanced fundamental analysis, quantitative and weather research, strong risk management, and operational excellence.
  • In 2024, Engelhart acquired Trailstone, a global energy trading and technology company, expanding capabilities into physical natural gas and providing risk management and optimization services for renewable power.
  • The company values are Performance, Agility, Collaboration, and Entrepreneurship.

Equal Opportunity

  • We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.