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:
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.
Qualifications:
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)