- Develop, implement, and monitor quantitative models using statistical and machine learning techniques.
- Support in defining model monitoring procedures for evaluating model performance and producing recurring reports to demonstrate the models are behaving as expected.
- Coordinates deliverables for model risk management validations and periodic reviews and assists in the assessment and mitigation of model risk
- Partner with enterprise data team to develop and maintain database structures to ensure efficient production data for model development and on-going model monitoring.
- Build and run data queries from multiple systems and prepare data to be used as input for quantitative models and report generation using Visual Studio SSIS and MS SQL Server.
- Serve as first line of defense for ensuring effective challenge in accordance with the principles outlined in the SR 11-7. Present and defend model results to executive leadership, internal stakeholders, including Model Risk Management
- Engage with external vendor model developers to understand the limitations of out-of-the box models and make recommendations to model executives and owners when selecting a vendor.
- Conduct sensitivity and scenario analysis to estimate the effects of changes in economic forecasts and other model assumptions.
- Prepare and maintain model documentation , including material for working groups, executives and committees, user guides, SOX control reviews, and other presentations as needed.
- Excellent analytical and problem-solving skills.
- Bachelor of Arts /Bachelor of Science or equivalent degree in finance, mathematics, statistics, economics, engineering, or related quantitative discipline required. (Graduate degree is a plus).
- 3+ years in banking/financial services industry.
- Strong familiarity with regulatory guidance in the model space (i.e., SR 11-7).
- Ability to assess model conceptual soundness, identify weaknesses and propose solutions.
- Strong proficiency in R, Python, SAS, Visual Studio SSIS and MS SQL Server.
- Excellent analytical and problem-solving skills.
- Effective communication and teamwork abilities.
- Experience with big data technologies and cloud computing programing (i.e., Azure)
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Sr. Quantitative Analyst - Dallas, United States - Hilltop Holdings
Description
Hilltop Holdings is looking for a Sr. Quantitative Analyst to join the Quantitative Analytics team. The ideal candidate will have a strong background in statistics, mathematics, and programming, with a focus on developing and monitoring quantitative models. These activities will be coordinated across a number of key stakeholders throughout the organization, including Finance, Accounting, Treasury, Enterprise Risk, and IT.
Responsibilities:
Qualifications: