Risk Engineering, Credit Risk Analytics and Reporting, Vice President

Goldman Sachs; New York (NY); On-site; USD 150,000 - 250,000; Full time

Job summary

An established industry player is seeking a Vice President for Risk Engineering, focusing on Credit Risk Analytics and Reporting. This role involves delivering critical risk metrics and analytics, ensuring compliance with regulatory standards, and developing efficient workflows for risk insights. Candidates should possess a strong quantitative background and excellent communication skills, with experience in programming and data visualization tools. Join a dynamic team committed to providing actionable risk insights and enhancing the firm's risk management capabilities.

Qualifications

• 5+ years of experience in financial or non-financial risk.
• Strong analytical and entrepreneurial mindset.

Responsibilities

• Deliver reliable risk metrics and insights based on firm activities.
• Build efficient workflows for risk analytics production.

Skills

Programming (Python, Java, C++, SQL, R)

Data Analysis

Data Visualization (Tableau, Alteryx, PowerBI)

Risk Management

Communication Skills

Mathematics and Statistics

Education

Master's or Bachelor's degree in quantitative discipline

Tools

Tableau

Alteryx

PowerBI

Job description

Risk Engineering, Credit Risk Analytics and Reporting, Vice President

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Risk Engineering, Credit Risk Analytics and Reporting, Vice President

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Background

Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions.

Job Description

Background

Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s 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 .

Responsibilities

A&R has a unique vantage point in the firm’s 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 firm’s 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 mathematics, physics, econometrics, computer science or engineering.

Entrepreneurial, analytically creative, self-motivated and team-oriented.

Excellent written, verbal and team-oriented communication skills.

Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R.

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.

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.

[Vice President] 5+ years of financial or non-financial risk industry experience.

Salary Range

The expected base salary for this New York, New York, United States-based position is $150000-$250000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits

Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here .

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

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