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Quantitative Researcher

Fuse Energy

Dubai

On-site

USD 60,000 - 90,000

Full time

21 days ago

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Job summary

A leading energy company is seeking a quantitative researcher to develop and implement models for their energy supply business. The role involves collaborating with the engineering team and requires strong statistical and programming skills, particularly in Python. The successful candidate will enjoy a competitive salary, stock options, and generous annual leave.

Benefits

Competitive salary and stock options
Biannual bonus scheme
Fully expensed tech
28 days paid annual leave

Qualifications

  • 2+ years of experience as a quantitative researcher or data scientist.
  • Strong programming skills in Python and experience with data science tools.
  • Experience in the energy industry is a plus.

Responsibilities

  • Develop and implement models for energy supply using Python.
  • Identify, analyze, and mitigate credit risk.
  • Conduct data analysis to support risk management decisions.

Skills

Programming in Python
Data analysis
Statistical modeling
Communication
Collaboration

Tools

Pandas
NumPy
SciPy

Job description

We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.

Responsibilities:
  • Develop and implement models for our energy supply business using Python and other data science tools
  • Identify, analyze, and mitigate credit risk
  • Conduct data analysis and modeling to support risk management decisions
  • Stay current with industry developments and regulations related to credit risk management
Requirements:
  • 2+ years of experience as a quantitative researcher or data scientist
  • Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy
  • Strong statistical and modeling skills
  • Strong communication and collaboration skills
  • Experience in the energy industry is a plus
Benefits:
  • Competitive salary and a stock options sign-on bonus
  • Biannual bonus scheme
  • Fully expensed tech to match your needs!
  • 28 days paid annual leave per year including public holiday
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