Model Risk Analytics Manager
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JOB DESCRIPTION
Job #: | 24915 |
---|---|
Status: | Inactive / Filled |
Title: | Model Risk Analytics Manager |
Job Location: | Saint Louis, MO |
Base Compensation: | $140,000 — $185,000 |
Total Compensation: | $160,000 — $205,000 |
Benefits: | Traditional - financial institution |
Is Employer Willing to Relocate?: | Yes |
Employment Type: | Full Time / Direct Hire |
Job Categories: | Accounting; Admin Services; Audit ; Bank Operations; Capital Markets; Cash Treasury Management; Commercial Lending; Commercial Lending - Real Estate; Compliance & Legal; Credit; Finance; Finance Treasury Group; Information Technology - IT; International Banking; Investment Banking; Investments & Securities; Tax |
Industries: | All Industries |
WHY IS THIS A GREAT OPPORTUNITY?
Our client is one of the nation’s top performing banks, is one of the most Risk Management centric Financial Services providers in the United States. They nurture a workplace atmosphere where people with a variety of thoughts, ideas and backgrounds come together and collaborate to make their institution a great company and a great place to work.
JOB DESCRIPTION
As the Manager - Model Risk (Quantitative Analysis), you will work on the validation of various models. Some of the models the team covers include, but not limited to, deposit models, interest rate risk management models and liquidity risk management models. You will enhance your technical and analytical skills, while also working closely with corporate leaders to influence business strategy. With an expanding network of quantitative analysts, the client is working to create a dynamic environment with plenty of room for its associates to learn, grow, and realize their potential.
Specific accountabilities may include, but are not limited to the following:
- Contributing to model validation plans, in a collaborative, leadership, or analytic capacity.
- Complying with the company’s model policy and regulatory requirements.
- Understanding business processes and portfolios related with model use, and the nature of model use within those methods.
- Contributing horizontally by knowledge sharing across validation teams.
- Documenting validation processes and results.
- Evaluating the methodologies and processes used by modeling teams to progress and manage their models, and detecting possible risk and the accompanying materiality of the risk.
- Benchmarking model methodologies and performance by specifying and managing the expansion of different models.
- Solving problems with limited data and making conclusions with analytical justifications.
- Providing constructive and actionable solutions to model issues identified.
- Researching industry practices related to model methodologies.
- Communicating validation results to management, model owners, regulators, and auditors.
- Leveraging education, colleagues and training opportunities to develop solutions to business problems.
QUALIFICATIONS
Mandatory Credentials & Qualifications:
- Bachelor’s degree in mathematics, statistics, business, accounting, finance, quantitative analysis, or related areas.
- Four or more years’ experience in quantitative analysis with Statistics, Econometrics or Financial Risk Management in banking or a related industry.
- Excellent analytical skills that consist of statistical analysis, model validation/development/execution.
- Outstanding experience using statistical programming languages such as SAS, SQL and R.
- Exceptional oral and written communication skills, including presentation skills, the capacity to create concise. model documentation, as well as the ability to critically review and edit documents? a writing sample may be requested.
- Ability to effectively communicate with peers, senior management and partners.
- Capacity to work under pressure and organize, manage and prioritize multiple deliverables.
Preferred Credentials & Qualifications:
- Four or more years of experience in quantitative analysis related to Statistics, Econometrics or Financial Risk Management
- Master’s degree in Statistics, Economics, Financial Engineering, Operational Research, Physics or Mathematics
- Doctorate in a quantitative field such as Statistics, Economics, or Mathematics
- Three or more years of experience working with QRM software
- Three or more years of experience developing and managing models at a Large and Complex bank
Total Years of Experience:
7-8+
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