1

Manager Commodity Risk Management Jobs in New Jersey

Risk Manager

Morristown, NJ · On-site

$61.18 - $107.69/hr

Management of the resolution process related to complaint/grievances. Provides education to nursing ... risk management, corporate compliance, EMTALA, HIPAA and other regulatory concerns following the ...

Duties & Responsibilities: • Oversee all enterprise risk management which incorporates programs for credit, market, compliance, and operational risk management. • Monitor the organization's risk ...

Insurance risk management is a systematic effort on the part of top administrative staff, as guided and advised by the risk manager, to conserve general assets of a jurisdiction or other similar ...

Risk Manager

Berkeley Heights, NJ · On-site

$87K - $146K/yr

Demonstrated relationship management experience working with senior business leaders and control partners to deliver measurable risk outcomes. * Bachelor's degree in business, finance, economics ...

Risk Manager

Atlantic City, NJ · On-site

$50K - $95K/yr

Insurance risk management is a systematic effort on the part of top administrative staff, as guided and advised by the risk manager, to conserve general assets of a jurisdiction or other similar ...

Showing results 41-60

Manager Commodity Risk Management information

What is the difference between Manager Commodity Risk Management vs Commodity Analyst?

AspectManager Commodity Risk ManagementCommodity Analyst
ResponsibilitiesOversees risk mitigation strategies, manages teams, develops policiesAnalyzes market data, forecasts commodity trends, supports risk decisions
Required SkillsRisk management, leadership, strategic planningData analysis, market research, reporting skills
CertificationsFRM, CFA, or similar risk certifications often preferredRelevant finance or commodity certifications beneficial
Work EnvironmentCorporate, trading floors, risk departmentsResearch firms, trading companies, financial institutions

The Manager Commodity Risk Management focuses on leading risk strategies and managing teams, while the Commodity Analyst primarily conducts market analysis and trend forecasting. Both roles require strong analytical skills, but the manager role emphasizes leadership and strategic oversight.

What are the most commonly searched types of Commodity Risk Management jobs in New Jersey?

The most popular types of Commodity Risk Management jobs in New Jersey are:

What are popular job titles related to Manager Commodity Risk Management jobs in New Jersey?

For Manager Commodity Risk Management jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Manager Commodity Risk Management jobs in New Jersey look for?

The top searched job categories for Manager Commodity Risk Management jobs in New Jersey are:

What cities in New Jersey are hiring for Manager Commodity Risk Management jobs?

Cities in New Jersey with the most Manager Commodity Risk Management job openings:

Risk Management - Model Risk Program Associate

JPMorganChase

Jersey City, NJ • On-site

Full-time

Re-posted 17 days ago


Job description

Job Summary:
JPMorgan Chase is one of the oldest financial institutions, providing innovative financial solutions globally. They are seeking a Risk Management - Model Risk Program Associate to design and build AI-native tools that transform the model risk lifecycle and enhance collaboration between risk professionals and model developers.
Responsibilities:
• Design, build, and deploy AI and LLM-based solutions that transform core MRGR processes and workflows during validation and governance.
• Work closely with MRGR teams to identify opportunities for AI to enhance and modernize model risk management practices and to understand the unique challenges and requirements of model risk governance.
• Remain current with emerging AI and LLM developments, get hands-on with new capabilities to understand their strengths and limitations, assess how they can be applied within MRGR workflows, and communicate actionable recommendations to stakeholders.
• Enable MRGR teams to effectively leverage AI tools and platforms in their day-to-day workflows, ensuring adoption is aligned with evolving best practices across the organization.
• Conduct independent model validation and governance activities to mitigate model risk, with a focus on AI/ML models, LLM-based applications, and Generative AI systems.
Qualifications:
Required:
• Master's or PhD degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, or a related field, with strong quantitative and analytical skills.
• Hands-on experience with applied AI/ML and LLM technologies, including prompt engineering, RAG architectures, agentic AI systems, context engineering, agent skills, MCP architecture, agentic harness, LLM evaluation and beyond.
• Strong foundation in statistics, econometrics, and machine learning techniques, with a deep understanding of model assumptions, limitations, explainability, and performance evaluation.
• Familiarity with LLM application tooling and frameworks (e.g., Claude Code, GitHub Copilot, LangChain, vector databases, embedding models, orchestration layers) and an understanding of how these components integrate in end-to-end deployed systems. Passion to stay at the forefront of how Generative AI is being operationalized in financial services and a desire to be a hands-on builder of AI solutions.
• Strong communication skills with the ability to present complex AI concepts to both technical and non-technical audiences.
• A risk and control mindset with the ability to ask incisive questions, assess the materiality of model issues, and escalate appropriately.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.