Associate Model Risk Analyst

BioCatch; New York (NY); On-site; USD 60,000 - 100,000; Full time

Job summary

An established industry player in behavioral biometrics is seeking a dedicated professional to join their team. This role offers a unique opportunity to engage in innovative projects leveraging machine learning technologies while working closely with industry leaders and large financial institutions. The position emphasizes collaboration and support, allowing you to make a significant impact on fraud prevention and customer relationships. If you are passionate about model risk management and eager to advance your career in a supportive environment, this is the perfect opportunity for you.

Qualifications

• Up to 4 years of experience in model risk management or data analytics.
• Familiarity with statistical modeling and machine learning techniques.

Responsibilities

• Respond to Model Risk Management inquiries from customers.
• Lead discussions to improve MRM processes and validation timelines.

Skills

Analytical Skills

Problem-Solving Skills

Communication Skills

Machine Learning Techniques

Statistical Modeling

Education

Bachelor's degree in a quantitative field

Master’s or Ph.D. degree in a relevant field

Tools

SQL

Job description

Employer Industry: Behavioral Biometrics

Why consider this job opportunity:

1. Opportunity for career advancement and growth within the organization
2. Work closely with industry leaders and large financial institutions
3. Engage in innovative projects that leverage machine learning technologies
4. Supportive and collaborative work environment
5. Chance to make a significant impact on fraud prevention and customer relationships

What to Expect (Job Responsibilities):

1. Respond to Model Risk Management (MRM) inquiries and requests from customers
2. Lead discussions to improve MRM processes and accelerate validation timelines
3. Support customers in addressing model validation findings and tracking issues
4. Prepare and review model documentation for MRM approval
5. Collaborate with various teams to ensure effective customer responses

What is Required (Qualifications):

1. Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, Economics, Finance, or related disciplines)
2. Up to 4 years of experience in model risk management, data analytics, or a related field
3. Familiarity with statistical modeling, machine learning techniques, and validation methodologies
4. Strong analytical and problem-solving skills with attention to detail
5. Excellent communication skills, with the ability to document and present findings effectively

How to Stand Out (Preferred Qualifications):

1. Master’s or Ph.D. degree in a relevant field
2. Understanding of regulatory guidance on model risk management (e.g., SR 11-7)
3. Ability to write, modify, and interpret SQL queries