Market Risk Officer - Associate

Société Générale Assurances; New York (NY); On-site; USD 99,000 - 150,000; Full time

Job summary

An established industry player is seeking a skilled professional to join their Metrics Monitoring Group in New York. This role focuses on producing and certifying risk and P&L metrics for equity and fixed income derivatives. The ideal candidate will possess strong analytical skills and a master's degree in finance, contributing to the growth of the risk management department. Collaborating with traders and risk managers, you'll enhance processes using programming and BI tools, ensuring effective monitoring of trading activities. This is an exciting opportunity to develop technical expertise in a dynamic environment.

Qualifications

• Master's in Financial Engineering or Finance is required.
• Strong analytical, mathematical, and interpersonal skills are essential.

Responsibilities

• Produce and certify risk and P&L metrics of US business lines.
• Support Front Office with reports and analysis, enhancing P&L/Risk processes.

Skills

Knowledge of derivative instruments

Strong analytical and mathematical skills

Strong interpersonal skills

Initiative-taking ability

Excellent verbal and written communication skills

Self-motivated and proactive

Ability to prioritize in a dynamic, deadline-driven setting

Education

Master's in Financial Engineering or Finance

Tools

PowerBI

Tableau

Job description

Risks Permanent contract New York, United States Salary from 99,000 to 150,000 Reference 24000PIL Start date 2025 / 01 / 06 Publication date 2024 / 10 / 25

Responsibilities

• Produce, certify, and publish the risk and P&L metrics of US business lines. Daily aggregation and certification of market risk metrics at SGUS, FIC, and EQD levels (VaR, Stress tests, sensitivities, etc.). Monitor risk limit consumption and follow up on breaches with Front-Office and Risk management. Certify the Profit & Loss and Income Attribution for FIC and EQD business lines. Publish commentary on metric highlights to senior management.
• Support Front Office and risk managers in understanding positions and risks through reports and analysis. Create daily and weekly dashboards to monitor trading activity. Collaborate with teams to meet business needs and improve desk processes. Continuously enhance P&L / Risk processes and systems using programming (VBA, Python) for macros and IT teams for global tools. Develop and improve dashboards using PowerBI.

Profile required

Division Description:

The Risk Management Department contributes to Societe Generale's growth through expertise in risk analysis and management. It independently oversees enterprise, strategic, credit, market, liquidity, operational, and model risks within corporate and investment banking activities.

The team provides financial analysis, reporting, and certification to partners like Finance, Front-Office, and Risk Management divisions.

This position is part of the Metrics Monitoring Group (MMG) within RISQ, focused on Equity and Fixed Income Derivatives at Societe Generale Americas in New York City.

Joining MMG offers opportunities to develop technical knowledge of traded products, PnL analysis, income attribution, and risk metrics including VaR and Stress Tests.

The role involves collaboration with traders, risk managers, developers, Middle Office, and other teams, providing a broad understanding of the value chain.

The position is based on the trading floor within the fixed income business lines.

Skills and Qualifications

Must Have:

• Knowledge of derivative instruments
• Strong analytical and mathematical skills
• Strong interpersonal skills
• Initiative-taking ability
• Reactive, detail-oriented, and adaptable to fast-paced environments
• Excellent verbal and written communication skills
• Ability to prioritize in a dynamic, deadline-driven setting
• Self-motivated and proactive
• Willingness to learn and develop
• Master's in Financial Engineering or Finance

Nice to Have:

• Knowledge of volatility instruments
• Experience with BI tools (Tableau, PowerBI)
• Knowledge of machine learning algorithms
• Experience in the financial industry with knowledge of Fixed Income risk and P&L metrics