National Financial Services Corp-posted 3 months ago
$122,550 - $132,550/Yr
Full-time • Manager
Onsite • Jersey City, NJ
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

The Manager, Quantitative Risk Analysis is responsible for developing financial models using programming languages such as Python and R. This role involves identifying all firm-wide models and meta-data to ensure standardization and challenge risk ratings. The manager will maintain comprehensive, centralized, and standardized model documentation, inventory, and performance using Key Risk Indicators and Reporting Metrics. Additionally, the position requires the development and implementation of techniques or analytics applications to transform raw data into meaningful information through data-oriented programming languages and visualization software. The role also includes applying data mining, data modeling, Natural Language Processing (NLP), and Machine Learning (ML) to extract and analyze information from large structured and unstructured datasets, as well as visualizing, interpreting, and reporting data findings.

  • Implements and executes Model Risk Management (MRM) Framework for quantitative and qualitative models across the model lifecycle.
  • Works with model developers and owners to ensure all models used by associates and customers are trusted and of the highest quality.
  • Collaborates with business and technology partners across Legal, Risk, Audit, and Compliance to validate models and identify potential risks.
  • Establishes effective standards, policies, and procedures.
  • Provides complete and accurate documentation.
  • Performs ongoing monitoring of the MRM processes to ensure solid governance.
  • Characterizes and quantifies model risk within the model inventory.
  • Collaborates with the team to validate models across the business and implement model inventory standards.
  • Develops partnerships with Risk Leads and/or model owners and developers.
  • Interacts with senior leadership and collaborates with colleagues across the enterprise.
  • Bachelor's degree in Finance, Financial Engineering, Financial Mathematics, Applied Mathematics and Computational Science, Accounting, Economics, or a closely related field and three years of experience as a Manager, Quantitative Risk Analysis.
  • Alternatively, a Master's degree in a related field and one year of experience in the same role.
  • Demonstrated expertise in performing quantitative and qualitative analyses to validate financial, statistical, and AI models using Python, R, and SQL.
  • Experience in developing and implementing mathematical methodologies, algorithms, and diagnostics using Gurobi and LightGBM or scikit-learn.
  • Experience in implementing a comprehensive model risk management framework and conducting back, stress, and sensitivity testing.
  • Experience with product lifecycle management tools (Archer).
  • Familiarity with financial product development and integration validation.
  • Experience with Refinitiv Eikon, Insomnia, and PostgreSQL or Snowflake.
  • 401k
  • health insurance
  • dental insurance
  • vision insurance
  • paid holidays
  • tuition reimbursement
  • flexible scheduling
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