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This job is responsible for performing more complex analysis and modeling to minimize loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.
Responsibilities:
Fraud Prevention and Detection is looking for a model validation professional to join our team and help us combat financial crime.
In this role you will be responsible for:
- Developing advanced technical documentation for internally- and vendor-developed models
- Working closely with developers to understand how the model works and provide effective challenge to not only push back on methodology but also ensure results are accurate
- Partnering with technology and model users to schedule deployments and planning ahead for future model installations
- Working with independent model risk management, legal and compliance teams to ensure models are fully validated and approved for usage
- Producing analytics to ensure early model results look consistent with expectations
- Conducting regular model monitoring and sharing performance results and analytical insights with model stakeholders and users
- Supporting Bank policy for Artificial Intelligence models and ensuring any risks of using advanced techniques are identified and mitigated
- Tracking model changes after deployment and ensure appropriate documentation reflects any adjustments, patches or updates
- Driving model performance analytics above and beyond Model Risk Management policy requirements, including granular performance monitoring, early trend detection, root cause analysis, and gap analysis
Skills:
This position is not eligible for sponsorship.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
R equired qualifications:
• A minimum of 3 years of experience in model validation or development is required
• Must be proficient with SQL and SAS
• Excellent technical writing skills
• Critical problem solving abilities including selection of data and deployment of solutions
• Excellent communication and influencing skills
• Thrives in fast-paced and highly dynamic environment
• Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solutions
Desired Qualifications:
- Advanced Quantitative degree (Masters or PhD)
- 5+ years of experience working in model validation. Experience in financial services (following SR-11-7 guidance is very desirable)
- Proficiency with Python and Tableau
Shift:
1st shift (United States of America)Hours Per Week:
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