Sr. Associate Analytics, ALLL Loss Forecasting
Job Family: Risk
Monitors activities to minimize the company's exposure to risk. Activities may include quantitative analysis, risk identification and remediation. Represents or supports the reputation of the company to minimize compliance and regulatory risk by resolving issues and ensuring adherence to company and legal standards. Responsible for ensuring that all of the company's activities adhere to the necessary rules and regulations, and that the company complies with legal/regulatory statutes and jurisdictions.
Job Function: Risk Management
Ensures adherence to the policies and procedures established by the company. Manages policy, standard definition and monitoring of policy, standard implementation, ensuring harmonization and consistency of risk policies. Monitors and manages risk/exposure and compliance with the company's policies. Identifies, manages and reports on the company's risk areas. Evaluates the adequacy and effectiveness of data, document retention, and monitors systems.
Summary of Responsibilities:
The role asks that the obligatory evaluate loan-level reserve (LLR) methodologies, monitor portfolio performance metrics, and synthesize quantitative analysis for presentation to management. The Loss Forecasting and Provisioning (LFP) function ensures reserve adequacy through loss estimation and further examines the use of loss forecast in the consumer loan business setting and economic environment for both CECL and IFRS 9. The candidate will have some understanding of the uses and limitations of loss estimation approaches and forecasting models such as Roll Rate, Statistical Scorecards (PD/PO, Prepay, LGD, and EAD), and Vintage Loss Curves. The position is responsible for carefully conduct analysis to support the management team in its independent identification, assessment, and challenges related to risks throughout the credit process by providing management with critical inputs needed to understand risks and trends. This position is considered a highly quantitative role requiring hands-on analysis as well as problem-solving skills.
Responsible for the reserve methodology and aggregation of analytics to establish an accurate reserve that adequately covers the business credit risk exposure
Assist in ad hoc provision analysis
Demonstrated professional proficiency in CECL/IFRS 9 Models and CCAR Models for PD, LGD, EAD
Monitor economic stressors to the business and examine the credit risk impact of economic indicator changes on the loss estimation.
Ability to manage complex processes and deliver results within compressed timelines
Evaluate model assumptions and weaknesses and prepare reports describing the results of the validation analyses
Must have knowledge of modeling and conducts research of current risk methodologies
Participate in analyzing and evaluating complex models by using statistical techniques which directly support critical decision-making processes
Assist in deep-dive analysis relate to our provision calculation
Strong desire to proactively identify gaps and improve the status quo
Understanding and applying the proper risk framework for the analysis and modeling
Supports projects aimed at designing, developing, and implementing methodologies to measure risk exposure.
Ability to present finding in a cohesive, clear, and actionable format to the upper management
Conducts research of current risk frameworks/methodologies and industry developments and active application of the findings in risk modeling and analysis.
Ensures proper documentation necessary from the compliance standpoint
Demonstrated aptitude/ preference for working in teams and building relationships.
At Santander, we value and respect differences in our workforce and strive to increase the diversity of our teams. We encourage everyone to apply.
Master’s degree required in a quantitative field; Majors of Statistics, Mathematics, Economics are preferred
8-10 years of experience in risk management, have a solid understanding of model loss forecasting, contributing to quarterly reporting, collaborating with senior stakeholders, and producing sophisticated complex management packages. Or 9-11 years of experience (internships/projects) in a Graduate research program
Direct knowledge and experience of the allowance of credit loss (ACL) under CECL/IFRS 9 (model execution, memo writing, and deck presentation) are strongly preferred.
Strong understanding of software applications such as SQL, SAS, Microsoft Office, VBA, Access, R
Ability to work under pressure when necessary and meet specific objectives consistently
Knowledge and ability to validate complex forecasting models/ tools.
Familiar with advanced credit risk management techniques such as parameter estimation, stress testing, model development and validation, model risk management, capital planning, and evolving supervisory policy issues.
A strategic and tactical thinker with the ability to multitask and prioritize
Dedication to information integrity, accurate reporting, and strict confidentiality
Analytical, technical, and problem-solving skills, with strong attention to detail
Ability to effectively explain to others how to understand and approach complicated issues
Ability to work effectively in a team environment with all levels of personnel
Vision and ability to provide innovative solutions to core business practices.
Excellent interpersonal, relationship building, and communication skills (verbal and written).
To be considered eligible for internal posting, Santander employees must meet all of the following eligibility requirements:
Completion of at least one year of active service in Santander
Completion of at least twelve months in current position
Be in “Good Standing”