Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

We are a leading financial institution seeking an experienced Wholesale Modeler to join our dynamic and innovative team. As a well-established player in the industry, we pride ourselves on delivering cutting-edge solutions and world-class financial services to our clients. This role offers an exciting opportunity for a skilled quantitative expert with a strong background in Commercial Real Estate (CRE), Comprehensive Capital Analysis and Review (CCAR), Current Expected Credit Loss (CECL), and internal credit ratings modeling.

Role Overview: As a Wholesale Modeler, you will play a pivotal role in advancing our quantitative modeling capabilities, risk assessment frameworks, and ensuring regulatory compliance. You will collaborate with cross-functional teams of experts and contribute to the design, development, implementation, and validation of complex financial models. Your expertise in CRE, CCAR, and CECL will be essential in supporting strategic decision-making, optimizing risk management processes, and enhancing our overall financial performance.

Responsibilities:

• Develop and enhance quantitative financial models related to Commercial Real Estate (CRE) exposure, considering risk parameters, economic factors, and market trends.
• Lead the design and implementation of models to support the Comprehensive Capital Analysis and Review (CCAR) process, ensuring compliance with regulatory requirements.
• Oversee the development and calibration of models for Current Expected Credit Loss (CECL) estimation, incorporating both qualitative and quantitative factors.
• Utilize statistical and econometric methodologies to create models for internal credit ratings, incorporating a range of risk metrics and portfolio analysis.
• Collaborate with stakeholders to understand business requirements, model performance objectives, and ensure model outputs align with strategic goals.
• Conduct rigorous model validations and sensitivity analyses to assess model accuracy, robustness, and reliability.
• Stay abreast of industry best practices, emerging trends, and regulatory changes impacting wholesale risk modeling; propose and implement necessary enhancements accordingly.
• Provide subject matter expertise and mentorship to junior team members, fostering a culture of continuous learning and development.
• Support model documentation, governance, and communication with internal and external stakeholders, including regulatory bodies.

Requirements:

• Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Economics, or a related field with a focus on financial modeling.
• Proven experience (at least X years) in developing and implementing quantitative models for Commercial Real Estate (CRE), CCAR, CECL, and internal credit ratings within a financial institution or relevant industry.
• Strong programming skills in high-level programming languages such as Python, with experience in data manipulation and analysis.
• In-depth knowledge of statistical modeling techniques, econometrics, time-series analysis, and risk management principles.
• Familiarity with relevant regulations and guidelines, including Basel III, Dodd-Frank Act, and other applicable regulatory frameworks.
• Exceptional problem-solving abilities and the ability to work with large datasets and complex financial structures.
• Effective communication skills with the ability to present complex concepts to both technical and non-technical stakeholders.
• Strong attention to detail and a commitment to producing high-quality work under tight deadlines.
• Professional certifications (e.g., CFA, FRM) related to quantitative finance and risk modeling are advantageous.