Commodity Market Risk Analyst - Hybrid NYC

ING Financial Services LLC

New York (NY)

Hybrid

USD 79,000 - 100,000

Full time

14 days+
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Benefits offered by this job

Comprehensive health benefits
Generous 401k savings plan
Adoption, surrogacy, and fertility‑t.v
Student debt assistance
Commuting subsidies

Job summary

ING Financial Services LLC in New York is seeking a market risk professional to manage all risk aspects of the commodity trading desk. You will monitor risk daily, generate reports, and advise front office on risk controls within a global TRM framework.

The role requires a solid foundation in finance, 0–1+ years of experience, and proficiency in Excel VBA, Python, and SQL. The team operates in a hybrid model with collaboration across regions.

Qualifications

  • Bachelor’s or Master’s degree in a relevant field.
  • 0–1+ years of market risk experience or equivalent.
  • Knowledge of financial markets and commodity risk is preferred.
  • Strong analytical and communication skills under pressure.

Responsibilities

  • Manage market risk aspects of the commodity trading desk on a daily basis.
  • Monitor and report market risk with accurate controls and data quality.
  • Provide analysis and proactive risk advice to front office.
  • Collaborate with regulatory and data teams on risk-related projects.
  • Support system upgrades and risk tooling initiatives.

Skills

Market risk knowledge
Analytical skills
Strong communication
Independent and proactive

Education

Bachelor’s or Master’s degree in Business/Finance/Economics/Statistics

Tools

Excel VBA
Python
SQL

Job description

ING Financial Services LLC in New York is seeking a market risk professional to manage all risk aspects of the commodity trading desk. You will monitor risk daily, generate reports, and advise front office on risk controls within a global TRM framework.

The role requires a solid foundation in finance, 0–1+ years of experience, and proficiency in Excel VBA, Python, and SQL. The team operates in a hybrid model with collaboration across regions.

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