Model Risk Gov Platform/product Dev/analyst (quant. Risk)

State Street Corporation

Boston, United States
$90,000 - $180,000 annual py
On-site
Model risk management platform
Sas mrm platform
User management and access control systems
The MRM team has responsibility for management of model risk across the entirety of State Street, including the maintenance of the model inventory and related processes, controls, technology and reporting

Job Summary

  • The MRM team has responsibility for management of model risk across the entirety of State Street, including the maintenance of the model inventory and related processes, controls, technology and reporting.
  • The person will be expected to bring their knowledge of data analysis and quantitative methods to enhance the current Model Risk Management platform and process.
  • Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

Matching Summary

The MRM team has responsibility for management of model risk across the entirety of State Street, including the maintenance of the model inventory and related processes, controls, technology and reporting.

Salary

$90,000 - $180,000 Annual

Skills & Requirements

Must-have

  • Model Risk Management platform
  • SAS MRM Platform
  • user management and access control systems
  • SAS Studio, SAS Workflow Manager
  • SAS Management Console
  • SQL, Groovy and SAS
  • LLM Model APIs with SAS MRM Platform

Nice-to-have

  • knowledge of data analysis and quantitative methods
  • working with Global Team
  • AI/ML Models and Risk Management Process

Key Requirements

  • Master’s degree or equivalent
  • 4 years of experience in Financial Industry
  • 1 year of experience in Model Risk Management
  • 1 year of experience in SAS MRM Platform
  • 1 year of experience in user management/access control for SAS MRM Platform
  • Demonstrated experience with Python, or R
  • Demonstrated experience in SDLC process, GIT, GitHub
  • Proven knowledge of SR 11-7

Work Rights

Not specified

Tailored Resume

Cover Letter