Overview
On Site
USD 115,000.00 - 180,000.00 per year
Full Time
Skills
Risk management framework
C++
Risk management
Statistical models
Stress testing
Use cases
Analytical skill
Computational finance
Financial modeling
Project management
Organizational skills
Metrics
Data
Jersey
Economics
Finance
Forecasting
Research
Software development
Testing
Collaboration
Econometrics
Statistics
Mathematics
Modeling
Python
Java
Communication
Management
Job Details
JOB DESCRIPTION
The Goldman Sachs Group, Inc. is a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and high-net-worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong, Irving and other major financial centers around the world.
RISK ENGINEERING
Risk Engineering, which is part of the Risk Division, is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management. Risk Engineering is staffed globally with offices including Dallas, New Jersey, New York, Salt Lake City, London, Warsaw, Bengaluru, Singapore, and Tokyo. As a member of Risk Engineering, you will interface with a variety of divisions around the firm as well as the other regional offices. The interaction with numerous departments and the diverse projects that ensue allow for a challenging, varied and multi-dimensional work environment.
Risk Engineering professionals are part of the value proposition of the firm and we balance our key functional responsibility of control with that of being commercial. RE has strong traditions of risk management, client service excellence and career development opportunities for our people.
Job Summary & Responsibilities
The Risk Economics Strats (RES) team is a central part of the Goldman Sachs risk management framework with primary responsibility for: 1) developing macroeconomic and financial scenarios for firm-wide scenario-based risk management; 2) developing and implementing statistical models for credit loss forecasting, business-as-usual risk management and regulatory stress testing requirements; and 3) analyzing large datasets of risk metrics to extract valuable insights about the firm's exposures. To fulfill these objectives, Risk Economics Strats interface with a wide array of divisional, finance and risk management groups across the firm. The cross-disciplinary nature of the projects that RES engages in makes for a challenging and multifaceted work environment.
RES professionals are part of the value proposition of the firm, and we balance our key functional responsibility of control and risk management with that of being commercial. RES has strong traditions of risk management, data analytics and career development opportunities for our people.
Responsibilities:
Research and develop new statistical and econometric techniques for macroeconomic and financial scenarios.
Implement coding infrastructure and environment to facilitate analysis related to development and testing of scenarios.
Document macroeconomic models and methodologies for both internal and regulatory requirements.
Provide overall support to the team to meet requirements for regulatory stress-testing and business-as-usual risk management.
Collaborate with other teams to understand different use-cases in order to develop and refine projections for scenarios.
Qualifications:
Strong quantitative and analytical skills with advanced degree (Masters or PhD) in a quantitative discipline (Econometrics, Statistics, Mathematics, Financial Engineering etc.).
Background in economic theory/ econometric modelling and/or financial modeling is preferred.
Ability to quickly learn and utilize quantitative modeling techniques.
Strong coding skills preferably with a working knowledge of Python, Java or C++
Excellent written and verbal communication skills.
Strong project management and organizational skills and the ability to manage multiple assignments concurrently.
Salary Range
The expected base salary for this New York, New York, United States-based position is $115000-$180000. 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 .
The Goldman Sachs Group, Inc. is a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and high-net-worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong, Irving and other major financial centers around the world.
RISK ENGINEERING
Risk Engineering, which is part of the Risk Division, is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management. Risk Engineering is staffed globally with offices including Dallas, New Jersey, New York, Salt Lake City, London, Warsaw, Bengaluru, Singapore, and Tokyo. As a member of Risk Engineering, you will interface with a variety of divisions around the firm as well as the other regional offices. The interaction with numerous departments and the diverse projects that ensue allow for a challenging, varied and multi-dimensional work environment.
Risk Engineering professionals are part of the value proposition of the firm and we balance our key functional responsibility of control with that of being commercial. RE has strong traditions of risk management, client service excellence and career development opportunities for our people.
Job Summary & Responsibilities
The Risk Economics Strats (RES) team is a central part of the Goldman Sachs risk management framework with primary responsibility for: 1) developing macroeconomic and financial scenarios for firm-wide scenario-based risk management; 2) developing and implementing statistical models for credit loss forecasting, business-as-usual risk management and regulatory stress testing requirements; and 3) analyzing large datasets of risk metrics to extract valuable insights about the firm's exposures. To fulfill these objectives, Risk Economics Strats interface with a wide array of divisional, finance and risk management groups across the firm. The cross-disciplinary nature of the projects that RES engages in makes for a challenging and multifaceted work environment.
RES professionals are part of the value proposition of the firm, and we balance our key functional responsibility of control and risk management with that of being commercial. RES has strong traditions of risk management, data analytics and career development opportunities for our people.
Responsibilities:
Research and develop new statistical and econometric techniques for macroeconomic and financial scenarios.
Implement coding infrastructure and environment to facilitate analysis related to development and testing of scenarios.
Document macroeconomic models and methodologies for both internal and regulatory requirements.
Provide overall support to the team to meet requirements for regulatory stress-testing and business-as-usual risk management.
Collaborate with other teams to understand different use-cases in order to develop and refine projections for scenarios.
Qualifications:
Strong quantitative and analytical skills with advanced degree (Masters or PhD) in a quantitative discipline (Econometrics, Statistics, Mathematics, Financial Engineering etc.).
Background in economic theory/ econometric modelling and/or financial modeling is preferred.
Ability to quickly learn and utilize quantitative modeling techniques.
Strong coding skills preferably with a working knowledge of Python, Java or C++
Excellent written and verbal communication skills.
Strong project management and organizational skills and the ability to manage multiple assignments concurrently.
Salary Range
The expected base salary for this New York, New York, United States-based position is $115000-$180000. 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 .