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**Risk - Quantitative Engineer - Associate - Paris** - **Location:** Paris, France - **Experience:** 2-5 years (preferably in financial, regulatory or consulting environment) - **Job Summary:** - Role focuses on Market Risk within the Risk - Quantitative Engineering group. - Responsibilities include: - Delivering risk metrics, analytics and insights. - Building workflows, processes and procedures. - Attesting to data quality, timeliness and completeness. - Skills required: - Master's or Bachelor's degree in quantitative discipline. - Entrepreneurial mindset, analytical, self-motivated and team-oriented. - Excellent communication skills. - Working knowledge of financial markets, associated risks, and programming in Python, SQL, and optionally R, Java, C++. - Experience in data visualization and business intelligence tools.
- Compensation
- Not specified
- City
- Paris
- Country
- France
Currency: Not specified
Full Job Description
Background
Market Risk Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firms senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firms market risk profile allowing them to take actionable and timely risk management decisions.
Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders.
Role Responsibilities
A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. This role will focus on Market Risk.
A&R has a unique vantage point in the firms risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights. The following are core responsibilities for A&R:
- Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firms businesses and its client activities.
- Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting.
- Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics.
Qualifications, Skills & Aptitude
Eligible candidates are preferred to have the following:
- Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering.
- Entrepreneurial, analytically creative, self-motivated and team-oriented.
- Excellent written, verbal and team-oriented communication skills.
- Working knowledge of the financial industry, markets and products and associated non-financial risk.
- Working knowledge of mathematics including statistics, time series analysis and numerical algorithms.
- Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis (including performance optimization). Experience in using languages such as R, Java, C++ is beneficial.
- Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages.
- 2-5 years of experience, preferably in financial, regulatory or consulting environment
