Quantitative Analyst I

Alliance For Cooperativ

Carmel (IN)

On-site

USD 65,000 - 90,000

Full time

6 days ago
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Job summary

Alliance For Cooperativ is seeking a Quantitative Analyst I in Carmel, IN to develop and maintain portfolio optimization and risk models, and to interact with clients to identify risk exposures and advise on hedging strategies. Strong quantitative skills and programming in R/SQL/Python are preferred.

The role requires organization, problem-solving, and the ability to apply best quantitative practices to deliver insights. Travel may be required as part of client engagements.

Qualifications

  • Bachelor’s degree or higher in mathematics, economics, finance, computer science, or an appropriate discipline.
  • Experience in quantitative study in finance or energy industry such as system operations, trading, and asset structuring.
  • Foundational understanding of statistics, mathematics, and finance.
  • Experience with programming languages such as R, SQL, and Python preferred.
  • Excellent written and oral communication skills.

Responsibilities

  • Develop, maintain, and enhance portfolio optimization and risk models.
  • Interact with clients to identify portfolio risk exposures and evaluate hedging strategies.
  • Produce scheduled and ad-hoc reports with analysis of portfolio cost, hedge position, and risk metrics.
  • Evaluate hedging strategies, structured transactions, and long-term asset developments.
  • Collaborate with teams to share data and innovate data solutions.

Education

Bachelor’s degree or higher in mathematics, economics, finance, computer science, or an appropriate discipline

Tools

R
SQL
Python
Microsoft Excel

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Quantitative Analyst I

Regular Full-Time Professional National Service Center - Carmel, Carmel, IN, US

3 days ago Requisition ID: 1765

Quantitative Analyst I

Carmel, IN

This position will be responsible for the development, maintenance, and enhancement of portfolio optimization and risk models. Additionally, the analyst will interact with our clients to identify portfolio risk exposures and assist in the evaluation of hedging strategies that support business objectives. This role requires strong organization and prioritization skills, a problem-solving mindset, and the ability to apply best quantitative practices to provide meaningful insights.

Duties and Responsibilities

  • Candidate will be responsible for quantitative analysis to assist clients with the management of physical, financial, and market risk exposures.
  • Builds and maintains stochastic energy portfolio optimization models.
  • Provides scheduled and ad-hoc reports to clients and senior management with detailed analysis of portfolio cost, hedge position, and risk metrics.
  • Assists in the evaluation of hedging strategies, structured transactions, and long-term asset developments.
  • Communicate with clients to understand and address new and ongoing analytical needs.
  • Collaborates within and across teams to share and manage data and to innovate data solutions.
  • Ability to travel.
  • Will adhere to all ACES corporate policies and comply with all ACES regulatory requirements, including but not limited to NERC, FERC, and relevant state regulations, as applicable to this position.
  • Any additional responsibilities assigned by management.

Required Qualifications

  • Bachelor’s degree or higher in mathematics, economics, finance, computer science, or an appropriate discipline.
  • Experience in quantitative study, in finance, or the energy industry such as system operations, trading, and asset structuring.
  • Minimum of 1 year of experience.
  • Knowledge of ISO/RTO markets and industry fundamentals such as operating procedures, buying and selling of energy, asset valuations, and position management.
  • Foundational understanding of statistics, mathematics, and finance.
  • High degree of analytical and technical skills, with the ability to organize and interpret data and to use complex models.
  • Experience in applicable programming languages such as R, SQL, and Python preferred.
  • Experience in Microsoft Excel.
  • Excellent written and oral communication skills.
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