Associate Enterprise Risk Analyst

CoBank•Greenwood Village, CO

4d•Hybrid

About The Position

Responsible for conducting detailed analysis that contributes to and advances one or more Enterprise Risk Management (ERM) programs to assist CoBank in managing credit/market/operational risks. Such programs include but are not limited to: Current Expected Credit Loss (CECL), Comprehensive Stress Testing, Risk Adjusted Return on Capital (RAROC), and Model Risk Management. The analysis performed will play a key role in supporting bank-wide initiatives through risk identification and quantification.

Requirements

Bachelor's Degree Finance, Economics, Mathematics, Computer Science, Statistics or other relevant discipline required
1 year of finance and risk management experience required
Prior Experience with the finance and lending industry, including instrument structures/types and financial markets required
Prior Experience with statistical and/or database software packages such as SAS, R, Python, or SQL, Excel VBA required
Knowledge and experience with market risk modeling, prepayment modeling, loss forecasting, regression models and economic capital required
Knowledge of quantitative risk modeling theory and practice, and experience developing models required

Nice To Haves

Master's Degree in a quantitative discipline preferred
Prior experience with third party vendor tools, such as SAS, QRM, etc. preferred.
Prior Experience Risk Assessment, Data Analysis Tools, Financial Modeling, Compliance Audits, Reporting Tools preferred
FRM, PRM and/or CFA certification preferred
Work experience within the Farm Credit System, and/or knowledge of the agriculture industry preferred

Responsibilities

Contributes to the development and evolution of risk metrics for the bank.
Creates, maintains, and enhances reports to key stakeholders.
Operates existing ERM models and aggregates results.
Utilizes data and information to aid in risk-based decision-making.
Sources and cleans data.
Aids in the determination of business rules for preparing data to be consumed in both formal and informal processes.
Queries, aggregates, and manipulates large datasets for various analyses.
Supports the transformation of information into key business insights.
Assists in the design of department/system processes for Risk Management that are efficient and comply with regulatory standards.
Prepares related training materials.
Supports best practices in modeling and model risk management (e.g., parameterize and calibrate forecasting models, perform ongoing monitoring of model assumptions, develop and update documentation).
Provides analytic support for ad-hoc analysis and development of visualizations with potential of becoming a standard for the bank.
Supports the monitoring of data integrity and model risk controls execution.
Identifies risks, proactively solves problems and addresses issues.
Supports executive-level risk committees and working groups, including the creation of committee packages and other presentations.