Model Risk Governance and Review Associate

2 - 6 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an Associate in MRGR Asset Management, you will play a crucial role in evaluating the risks associated with models used in Asset Management within the Asset & Wealth Management line of business. These models support various business processes, including investment management, risk forecasting, stress testing, optimization, and factor-based investing strategies for alpha generation. Your responsibilities will involve conducting independent testing, developing benchmarking tools, and monitoring the performance of these models. You will apply your technical expertise to assess the conceptual soundness of models and identify emerging model risks. **Key Responsibilities:** - Perform model reviews: Analyze the conceptual soundness of the models and assess their performance and suitability in the context of their usage. - Guide users on model usage and serve as the primary contact for the business regarding new models and changes to existing models. - Develop and implement alternative model benchmarks, design model performance metrics, and compare outcomes of various models. - Collaborate with model developers, users, and compliance groups, offering guidance on model risk evaluation. - Evaluate model performance regularly. **Qualifications Required:** - Minimum of 2 years of experience in a quantitative modeling role such as data science, quantitative model development, or model validation for investment banks or similar financial institutions. - PhD or Masters degree in a quantitative field like Mathematics, Physics, Engineering, or Computer Science. - Strong verbal and written communication skills to interact with various functional areas within the firm on model-related issues and produce high-quality technical reports. - Profound knowledge of standard statistical techniques, probability theory, and experience with machine learning models like Boosted Trees, Neural Networks, SVM, and LLM (e.g., BERT). - Proficiency in coding and implementing models in Python, R, or equivalent programming languages. - Risk and control-oriented mindset with the ability to ask insightful questions, assess the materiality of model issues, and escalate concerns appropriately. - Capability to work effectively in a fast-paced, results-driven environment. **Additional Details:** - No additional details available in the job description.,

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