Senior Hedging Analyst — Hybrid/Remote with Automation

F G; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Disability accommodations

Job summary

Fidelity & Guaranty Life Insurance Company (F&G) in the United States seeks a Sr. Hedging Analyst to execute, analyze, and manage derivative transactions within approved hedging strategies.

You will work with internal teams, counterparties, and service providers to drive accurate hedge reporting and risk controls. The role emphasizes automation, data quality, and reporting enhancements using Python, SQL, and Excel, with collaboration across risk, investment, and technology teams.

Qualifications

• Bachelor's degree in Finance, Economics, Mathematics, or related field; progression in hedging/derivatives is preferred.
• 3+ years of experience in hedging, derivatives, or capital markets.
• Experience executing or supporting derivative trade lifecycles is preferred.

Responsibilities

• Execute approved derivative hedging transactions and manage the trade lifecycle.
• Serve as primary contact for trade execution with internal teams and counterparties.
• Monitor derivative positions, market data, and deadlines to support hedge execution and controls.
• Prepare and distribute hedging, risk, and management reports; identify issues and improvements.
• Analyze portfolio exposures, market sensitivities, P&L, hedge performance, and valuation outputs.
• Support analysis of bespoke indices, payoff structures, and new products.

Skills

Python

SQL

Excel

Derivative pricing

Risk management

Trade execution

Education

Bachelor's Degree

Tools

SQL Server

Bloomberg

Job description

Fidelity & Guaranty Life Insurance Company (F&G) in the United States seeks a Sr. Hedging Analyst to execute, analyze, and manage derivative transactions within approved hedging strategies.

You will work with internal teams, counterparties, and service providers to drive accurate hedge reporting and risk controls. The role emphasizes automation, data quality, and reporting enhancements using Python, SQL, and Excel, with collaboration across risk, investment, and technology teams.