29 Dec
Data Scientist
Vacancy expired!
- 5 or more years of progressively responsible experience in risk management, credit, finance, or datascience.
- At least one year of experience in credit risk modeling or equivalent.
- 5 years Developing and implementing models for these purposes
- Experience with FICO Model Development is preferred.
- Strong statistical acumen with in-depth knowledge of risk modeling. Experience with statistical programming languages such as R, Python, SAS, etc.
- Strong computer literacy and proficiency in data querying tools (e.g., SQL, SAS)
- QUANTITATIVE MODELING: Participate in the design, implementation and maintenance of automated credit decisioning and loss forecasting models. For deployed models, develop and execute ongoing model validation processes in accordance with client’s Model Risk Management and Model Governance policies and industry best practices.
- SPECIALIZED AND ADVANCED ANALYSIS: Applies advanced analytical skills and experience to research complex topics, design analysis methodologies, and apply problem solving skills in performing ad hoc analysis projects.
- CREDIT & RISK EXPERTISE: Continually build expertise in agricultural and consumer credit, finance and technology to support being an active partner and risk management resource for the Credit Department and other departments across the Association.
- COLLABORATION: Represent the Risk Management department on applicable Association committees, workgroups or project teams. Coordinate with other Farm Credit System (FCS) institutions and FCS workgroups as applicable.
- Corporate mission and values: Embraces and represents the mission and values of the client and complies with its conduct, security and confidentiality policies and procedures.
- OTHER DUTIES: Performs other duties as assigned.
- Lead development and implementation efforts on models designed forcapital management.
- The incumbent will gather and meet business requirements, construct applicable and accurate development datasets, and explore, estimate, and test alternative approaches in order to setmethodology.
- Make certain that independent and effective validation for conceptual soundness takes place prior to model implementations and establish ongoing monitoring routines and outcomesanalyses.
- Good written and spoken communications skills in English and thought-leadership skills.
Vacancy expired!