Randstad US Jobs

model risk specialist.

• glen allen , virginia

• posted may 6, 2024

job details

summary

• $40 - $52 per hour

• contract

• postgraduate degree

• category computer and mathematical occupations

• reference1051127

job details

job summary:

The Model Risk Specialist ("Specialist") will support the Model Risk Analyst and Manager of Risk Technology & Operations in the implementation and execution of the Model Risk Management (MRM) framework as part of the 2nd Line of Defense. The MRM framework sets forth the enterprise level programs, governance, policies and practices to proactively identify, assess, mitigate, monitor, and report on model risk exposures in our clients' business and operations at all levels of the organization. This position will assist with the day-to-day management of model risk: providing assurance that models are governed by appropriate policies, standards, and procedures; that they are subject to robust performance monitoring; and that their use is safeguarded by effectively designed operating controls. This teammate will foster internal collaboration, conduct leading industry practices in MRM, and support MRM in alignment to the Bank's strategic plan and compliance with applicable regulations.

location: Glen Allen, Virginia

job type: Contract

salary: $40 - 52 per hour

work hours: 9am to 5pm

education: Doctorate

responsibilities:

· Conduct independent model validations from inception (scoping, project planning, etc.) to conclusion (presenting results and recommendations to business partners and senior management). Includes an assessment of and a critical challenge to the following core elements:

o Design and Development

o Input Processing

o Output and Use

o Performance

o Governance

· Monitor status of model validation findings and facilitate their resolution

· Periodically assess model performance results

· Perform periodic reviews

· Maintain MRM Policy and Standards by ensuring their operational soundness, effectiveness, and compliance with applicable regulations

· Design risk-based, tailored governance processes related to classification of models, findings, etc.

· Collaborate with the ERM System Support team (Archer) with a focus on establishing efficient MRM workflows and process automation, including building robust reporting & analytics capabilities (e.g. KPIs, dashboards, reports)

· Manage the enterprise-wide model and non-model tool inventory, including the model documentation library

· Maintain the Validation, Periodic Review, and other schedules

· Create MRM Committee deck and report to the MRM Committee quarterly

· Serve as a SME on regulatory guidance as it pertains to MRM (i.e. SR 11-7, OCC 2011-12)

· Develop and nurture working relationships with business partners

· Consistently promote evidence-based decision-making across the enterprise

· Interact with regulators as needed and maintain a working knowledge of Federal and State banking laws and regulations

· Develop and pursue a training and development plan that is aligned with company and MRM competencies, including career enhancement objectives

Education & Experience

· Graduate or Doctorate degree (completed or in progress) in a quantitative field such as Statistics, Mathematics, Physics, Financial Engineering, Economics, etc.

· 2 to 5 years of relevant work experience in financial services industry (or in an academic capacity) in the quantitative space (e.g., Model Validator, Model Developer, Quantitative Risk Analyst, Economics Teacher/Professor, Economist or similar).

Knowledge & Skills

· Experience in the risk management three lines of defense model

· Experience in use of integrated risk management and case management tools

· Ability to coordinate action plan documentation and execution with cross-functional teams

· Ability to perform multiple tasks in a high change environment and to work both independently as well as a team member

· Sound leadership effectiveness including an ability to influence peers and line of business leaders

· Advanced understanding of statistical model building, econometric forecasting, machine learning, data validation techniques, and demonstrated ability to such methods

· Proficiency in statistical programming languages/applications (e.g., SAS, R, SPSS, STATA, Python)

· Intellectual curiosity; superior problem-solving and research abilities

· Excellent project management and organizational skills

· verbal and written communication skills (especially, an ability to explain complex technical ideas to non-technical audience)

· Knowledge of regulatory requirements related to MRM (including SR 11-7)

qualifications:

• Experience level: Experienced

• Minimum 4 years of experience

• Education: Doctorate (required)

skills:

• SAS

• Project Management

• risk managementEqual Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).Applications accepted on ongoing basis until filled.