Model Risk Quantitative Analytics Lead Associate
Posted: March 1st, 2022
Location: REMOTE
Pay Range: $110,000 - $190,000
Location: REMOTE
Pay Range: $110,000 - $190,000
Description:
Our client is one of the nation’s largest financial services companies. Our client provides investment management, retail and commercial banking, consumer finance and investment banking products to individuals and companies throughout the United States and internationally. These are full time positions and they are 100% fully remote. Our client is offering a very competitive base salary, plus long term and short term bonus incentives. Positions also include medical benefits, Dental, Vision, Life insurance, PTO, retirement benefits, Employee Stock purchase plan and other excellent benefits.
The Model Risk Quantitative Analytics Lead Associate will conduct independent validations and assessments of our client’s high impact models in compliance with regulatory and our client’s own model validation policies and guidelines.
Essential Job Functions
Our client is one of the nation’s largest financial services companies. Our client provides investment management, retail and commercial banking, consumer finance and investment banking products to individuals and companies throughout the United States and internationally. These are full time positions and they are 100% fully remote. Our client is offering a very competitive base salary, plus long term and short term bonus incentives. Positions also include medical benefits, Dental, Vision, Life insurance, PTO, retirement benefits, Employee Stock purchase plan and other excellent benefits.
The Model Risk Quantitative Analytics Lead Associate will conduct independent validations and assessments of our client’s high impact models in compliance with regulatory and our client’s own model validation policies and guidelines.
Essential Job Functions
- Understand the conceptual framework and assumptions of models, quantitative methods, analytics, machine learning algorithms, and how those are used in the business decision-making process
- Assess mathematical and technical considerations for assumptions, limitations, and performance used in models and quantitative methods.
- Vet and verify implementation of models and quantitative methods to ensure intended use.
- Assess adequacy of monitoring, maintenance, and documentation of models and quantitative methods.
- Identify and escalate risks and issues identified, and effectively document the testing and conclusions.
- Partner effectively with stakeholders (business line users, model developers, and management) to communicate risks and issues identified.
- PhD or Master’s degree in Mathematics, Computer Science, Statistics or other quantitative field.
- 1+ years of industry experience in model development or validation or quantitative models and methods, or other comparable experience.
- Strong written and verbal communication skills
- Working experience of SQL
- Prior knowledge of one of the following scientific computing / statistical programming languages (Python, R, SAS, or Matlab)
- Ability to work both independently and collaboratively with team members and internal stakeholders
- 3+ years of modeling or model validation experience for models used in credit risk, Stress testing, CECL, Anti Money laundering.
- Prior experience in Python or R programming languages
- Prior experience of implementing machine learning models and methods, and designing tools to understand their risks and limitations
- Leadership skills – ability to mentor junior team members