Director, Compliance

Morgan StanleyBaltimore, MD
1d$108,000 - $125,000Hybrid

About The Position

Oversee and execute qualitative and quantitative analyses associated with ongoing monitoring, periodic assessments, above-the-line testing, below-the-line testing, and tuning. Support model and tool developers and vendors to perform adequate testing of the models, perform root- cause-analyses for identifying potential anomalies in model performance, and design challenger models or compensating controls to assure model performance. Document the analyses, recommendations, and rationales for each activity related to the models' reporting responsibilities. Assist with adding, editing, and identifying new models, documenting model changes, and reconciling model inventory information. Stay informed of regulatory developments impacting model risk and financial crime compliance (e.g., AML, Sanctions, Market Abuse etc.) and conduct internal and external research surrounding new trends in modelling approaches, perform gap analysis with existing model controls, provide proposals, and assist stakeholders in implementing proposed solutions. Track and report model and tool changes and results of model tuning and optimization activities to LCD advisory heads, the Model Risk Management, and the Internal Audit groups. Liaise with the MRM Group, the Internal Audit Department, Regulatory Bodies, and other stakeholders as needed during reviews, validations, and exams to fulfill information requests. Support the enhancement of model risk control policies and procedures in line with regulatory expectations and industry best practices. Telecommuting permitted up to 2 days per week. -Requires a Bachelor's degree in Computer Engineering, Financial Engineering, or a related field of study. -Requires five (5) years of experience in the position offered or five (5) years as a Director, Associate, Manager, Data Scientist, or a closely related occupation. Anti-Money Laundering and Fraud and Financial Crime Risk Management including Bank Secrecy Act, and financial crime compliance frameworks; SQL queries; databases including DB2 and Hadoop; Excel including PowerQuery, VBA macro automation, VLOOKUP, INDEX, and PivotTables; and providing recommendations based on analytical outcomes. model risk management and guidelines including SR11-7; complete model lifecycle including development, validation, documentation, governance, and inventory management; risk data analytics using statistical methods including binomial tests, t-tests, and regression; using Python and R for quantitative analysis, model performance monitoring, and KRI/KPI development; designing, tracking, and reporting risk metrics; and regulator frameworks including Comprehensive Capital Analysis and Review (CCAR). We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Salary range for the position: $108,000 - $125,000 /Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus component. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Requirements

  • Requires a Bachelor's degree in Computer Engineering, Financial Engineering, or a related field of study.
  • Requires five (5) years of experience in the position offered or five (5) years as a Director, Associate, Manager, Data Scientist, or a closely related occupation.
  • Anti-Money Laundering and Fraud and Financial Crime Risk Management including Bank Secrecy Act, and financial crime compliance frameworks
  • SQL queries
  • Databases including DB2 and Hadoop
  • Excel including PowerQuery, VBA macro automation, VLOOKUP, INDEX, and PivotTables
  • Providing recommendations based on analytical outcomes.
  • Model risk management and guidelines including SR11-7
  • Complete model lifecycle including development, validation, documentation, governance, and inventory management
  • Risk data analytics using statistical methods including binomial tests, t-tests, and regression
  • Using Python and R for quantitative analysis, model performance monitoring, and KRI/KPI development
  • Designing, tracking, and reporting risk metrics
  • Regulator frameworks including Comprehensive Capital Analysis and Review (CCAR)

Responsibilities

  • Oversee and execute qualitative and quantitative analyses associated with ongoing monitoring, periodic assessments, above-the-line testing, below-the-line testing, and tuning.
  • Support model and tool developers and vendors to perform adequate testing of the models, perform root- cause-analyses for identifying potential anomalies in model performance, and design challenger models or compensating controls to assure model performance.
  • Document the analyses, recommendations, and rationales for each activity related to the models' reporting responsibilities.
  • Assist with adding, editing, and identifying new models, documenting model changes, and reconciling model inventory information.
  • Stay informed of regulatory developments impacting model risk and financial crime compliance (e.g., AML, Sanctions, Market Abuse etc.) and conduct internal and external research surrounding new trends in modelling approaches, perform gap analysis with existing model controls, provide proposals, and assist stakeholders in implementing proposed solutions.
  • Track and report model and tool changes and results of model tuning and optimization activities to LCD advisory heads, the Model Risk Management, and the Internal Audit groups.
  • Liaise with the MRM Group, the Internal Audit Department, Regulatory Bodies, and other stakeholders as needed during reviews, validations, and exams to fulfill information requests.
  • Support the enhancement of model risk control policies and procedures in line with regulatory expectations and industry best practices.

Benefits

  • The successful candidate may be eligible for an annual discretionary incentive compensation award.
  • The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus component.
  • Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.
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