Risk-Warsaw-Analyst-Model Risk Warsaw, Mazowieckie, Poland Posted on 06/20/2023

7 dni temu

Warszawa, Mazovia, Polska Goldman Sachs Group, Inc. Pełny etat
Risk, Model Risk, Analyst/Associate, WarsawJob Description

RISK

Our Risk teams develop comprehensive processes to monitor, assess, and manage the risk of expected and unexpected events that may have an adverse impact on the firm. Risk professionals execute critical day-to-day risk management activities, lead projects, and contribute to the ongoing advancement of a robust risk management program. Effective coordination with executive management, business units, control departments, and technology is critical for success.

MODEL RISK MANAGEMENT (MRM)

Goldman Sachs Model Risk Management (MRM) is a multidisciplinary group of quantitative experts located in New York, Dallas, London, Warsaw, Hong Kong, and Bangalore. MRM is responsible for independent oversight and approval of all the firm's quantitative models, ensuring compliance with both internal and supervisory standards. There are a wide variety of models used in the firm across its range of businesses, including ones used for derivatives valuation, risk management, and electronic trading. Mathematical methods employed by these models include stochastic processes, machine learning, optimization techniques, statistical analyses, and numerical techniques.

RESPONSIBILITIES

  • Perform validation and approval of the firm's models by verifying conceptual soundness, methodology, and implementation, and by identifying limitations and uncertainties
  • Assess and quantify model risk by developing alternative benchmark models
  • Oversee monitoring of ongoing model performance
  • Communicate validation outcomes to key stakeholders and management

SKILLS & EXPERIENCE

The MRM group looks for people with strong quantitative and technical backgrounds and a strong interest in financial markets. We seek bright and dynamic individuals with a degree in quantitative fields such as maths, physics, engineering, computer science, or financial engineering. Applicants should possess the following:

  • Knowledge of stochastic modeling, numerical simulation, and data analysis
  • Machine learning knowledge (preferred)
  • Good communication skills with the ability to explain complex problems in a simple way
  • Eagerness and ability to learn new technologies and programming languages
  • Excellent organizational skills
  • Team orientation and ability to work in a fast-paced environment
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