Junior Energy Quantitative Analyst – Derivatives Pricing

Macquarie Bank Limited

Houston (TX)

On-site

USD 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Annual leave (25 days)
Wellbeing leave
Paid parental leave
Paid volunteer leave
insurance benefits
Learning and development opportunities
Hybrid working arrangements

Job summary

Macquarie Bank Limited seeks a motivated early career professional to join as a Junior Energy Quantitative Analyst in Houston. The role focuses on derivatives pricing and physical asset modelling within Commodities and Global Markets, assisting senior quants and trading desks. Ideal candidates will have a strong academic background in quantitative disciplines, programming skills (Python preferred), and some experience in a related field. The position offers a supportive team environment and various wellbeing benefits including annual leave and parental leave.

Qualifications

  • 0–3 years of experience in a quantitative, analytical, or financial modelling role; experience in energy markets is a plus.
  • Strong academic background in a quantitative discipline such as mathematics, physics, engineering, or computer science.
  • Foundational knowledge of energy markets (power and/or gas) and quantitative techniques.

Responsibilities

  • Provide quantitative support to traders and assist in developing quantitative models and tools.
  • Research and implement valuation and optimisation models for physical assets.
  • Contribute to industrialising existing pricing and data analysis tools.

Skills

Quantitative analysis
Problem-solving
Communication skills
Attention to detail

Education

B.S., M.S., or Ph.D. in a quantitative discipline

Tools

Python
C++
SQL

Job description

Macquarie Bank Limited seeks a motivated early career professional to join as a Junior Energy Quantitative Analyst in Houston. The role focuses on derivatives pricing and physical asset modelling within Commodities and Global Markets, assisting senior quants and trading desks. Ideal candidates will have a strong academic background in quantitative disciplines, programming skills (Python preferred), and some experience in a related field. The position offers a supportive team environment and various wellbeing benefits including annual leave and parental leave.
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