Experienced Senior Associate, Valuation & Capital Market Analytics Model Risk Management
The Experienced Senior Associate, Valuation & Capital Market Analytics Model Risk Management is responsible for execution and delivery of challenging Model Risk Management related engagements by performing Model Risk Management related activities such as designing effective challenge and validation of models, independent review of model documentation and governance, and writing high quality model validation reports.
Job Duties:
Identifies and executes model risk across the model lifecycle including model development, implementation, and utilization
Provides independent review by and serving as the subject matter expert executing against the model validation of models (Credit, Market, Forecasting, etc.) compliant with supervisory guidance on Model Risk Management policies and procedures, regulatory guidance, and industry leading practice
Designs specific validation plans to provide "effective challenge" to models, including assessments of overall design, underlying theoretical approaches, data quality and controls, model specification and estimation, development testing, implementation, use, and approvals
Provides effective challenge to the model design and construction and conduct incremental analysis and testing as necessary
Identifies model limitations and ensures the appropriate remediation actions are in place and monitored
Writes high-quality validation documentation that satisfies the client's internal model approval functions, audit requirements, and regulatory standards
Contributes to the development and enhancement of internal methodologies, tools, and best practices for model validation and risk assessment, supporting continuous improvement and innovation within the MRM team.
Leads select client engagements or workstreams, coordinating with cross-functional teams to ensure timely delivery of complex model risk management solutions
Communicates model validation conclusions to BDO internal senior management and relevant project stakeholders
Other duties as required
Provides technical assistance and modeling expertise to non-technical clients and internal teams
Provides recommendations for improved and enhanced model efficiency to clients
Exercises professional judgment on engagements by providing proactive solutions and recommendations
Supervisory Responsibilities:
Supervises and trains Associate validators on model validation processes
Qualifications, Knowledge, Skills, and Abilities:
Education:
Bachelor's degree in Business, Finance, Mathematics, Econometrics, Statistics, Engineering, or Quantitative Finance, required
Master's or PhD degree, preferred
Experience:
Three (3) or more years of relevant work experience (Model Risk Management), required
License/Certifications:
PhD, CPA, CIA, CFA, CA, CCA, CMA, CAIA or FRM certifications, preferred
Software:
Proficient in the use of Microsoft Office Suite, specifically Excel, PowerPoint, and Word, required
Experience in Programming skills languages such as in R, SAS, Python or other related programming languages, preferred
Language:
N/A
Other Knowledge, Skills, and Abilities:
Familiarity with Data Science, Artificial Intelligence / Machine Learning, Modeling Techniques
Knowledge of data management fundamentals and data storage principles
Strong analytical and quantitative skills to understand, validate, and challenge models effectively
Understanding of financial instrument valuation concepts
Strong analytical and computer skills including experience with quantitative analysis technical tools and techniques
Ability to explain difficult modeling and statistical concepts to diverse audiences and to experts at various clients
Strong writing and verbal skills
Demonstrated leadership skills
Ability to multi-task and communicate effectively with clients and staff in a consultative setting