Risk Analyst

Selby Jennings; Stamford; On-site; GBP 59,000 - 75,000; Full time

Job summary

A Premier Commodity Trading House in Stamford is seeking an Analyst to join their Risk Analytics team. This role involves partnering with traders to optimize risk exposures and support PnL reconciliation. The ideal candidate will have a Bachelor's degree, 2-5 years of relevant experience in the trading or commodity industry, and be proficient in data analytics using Python and SQL. High visibility and collaboration with senior management are offered in this role.

Qualifications

• 2 - 5 years of experience preferably in trading/commodity industry or a related field.
• Strong proficiency in Excel.
• Business background with P&L experience.

Responsibilities

• Partner with risk team and traders to analyze and optimize risk exposures.
• Support PnL reconciliation and improve accuracy.
• Automate data ingestion and analytics.

Skills

Risk analysis

PnL reconciliation

Data analytics (Python, SQL)

Education

Bachelor's degree in Finance, Accounting, or related field

Tools

Microsoft Office (Excel)

Job description

Overview

A Premier Commodity Trading House in Stamford, Connecticut is looking to hire an Analyst level candidate on their Risk Analytics team to sit on their trading floor as you will partner with the risk team and traders to analyze and optimize risk exposures of their products trading.

This individual will Support PnL reconciliation, whie setting risk frameworks for their team. The team is a smaller function, so the role offers high visibility and collaboration with senior management.

Role Objectives

• Partner with risk team and traders to analyze and optimize risk exposures of commodities trading.
• Support PnL reconciliation, improving accuracy and identifying mispricing errors.
• Automate data ingestion and analytics using Python and SQL, integrating multi-source market data feeds into internal trade management systems
• Managing large-scale time series datasets for transaction pricing analysis.
• Design tools for VaR modeling to derive data-driven risk insights.
• Research/backtest systematic trading strategies

Qualifications and Skills

• Bachelor\'s degree in Finance, Accounting, or related field
• 2 - 5 years of experience preferably in trading/commodity industry, or a related field.
• Proficient in Microsoft Office with strong proficiency in Excel
• Business background with P&L experience