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About this role:
Wells Fargo is seeking a Senior Risk Analytics Consultant.
The Consumer Credit team is responsible for leading, developing and implementing strategic initiatives and processes to drive the company credit culture, appetite, and business performance. The team is seeking a highly motivated and talented individual to be part of the Consumer Lending Credit Risk team.
Primary role is to apply strong business knowledge and advanced analytical skills to solve business questions, think out-side-of-the-box and develop innovative yet practical risk management strategies impacting the bottom line of the business. An individual who is results driven, goal oriented, and enjoys a fast-paced working environment will find this opportunity both challenging and exciting.
In this role, you will:
Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics
Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models
Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance
Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements
Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals
Lead projects, teams, and mentor less experienced staff
Partner with cross enterprise risk analysts in development of common modeling strategies
Required Qualifications:
4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
Desired Qualifications:
The incumbent would functionally contribute as a SR. Consultant to the Personal Lending Credit Risk team and execute relatively large and complex projects with moderate to high risk for the line of business.
Lead and deliver on significant initiatives and processes, and partners with line of business management to drive the company credit culture, appetite, and business performance with inputs from senior leadership.Acts as a subject matter expert for senior leaders.
Assesses and predicts risk and performance through business analysis and/or modeling. Establishes effective policies, processes, and tools to identify and manage risks. Uses predictive sciences for developing future ready solutions.
Develop predictive strategies / solutions for Collections & High Risk account management function.
Develop comprehensive monitoring frameworks and dashboards and provide statistically sound diagnostic evaluation of any emerging or unexpected risk areas to enhance intelligence and facilitate faster decision making.
Reports on asset quality, portfolio trends, credit policy exceptions across various credit, vintage, product, offer, channel, industry segments using visualization tools such as Excel VBA, Tableau and/or SAS Visual Analytics.
Builds risk rating methodologies using advanced analytics approaches including statistical modeling and machine learning techniques, not limited to Random Forest, Decision Trees, Segmentation, and/or Time-series modeling.
Develop complex programming models to extract data and/or manipulate databases such as ORACLE, Teradata.
To be effective in this position, you will need to have a good understanding of credit, practice in the test and learn discipline and exploratory analysis, and be fluent in both the key technical tools of credit risk decisioning and sound credit judgment.
Bachelor's degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
4+ years of progressive experience in credit and risk analytics
Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / Forecasting techniques / data architecture & management
Detailed understanding of risk domain Strong Risk analytics skills and understanding of P&L, drivers
Expertise in few programming and statistical packages - SAS, SQL, VBA, Macros, R, Python, E-miner, Tableau, SAS VA
Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques
Ability to lead project teams and coordinate with multiple stakeholders.
Strong analytical skills with ability to turn findings into executable plans to meet business objectives
Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution
Advanced degree in statistics/finance /engineering/economics/other quantitative disciplines
Knowledge and understanding of (consumer and small business loan) credit card lending practices, policies, procedures, and key drivers impacting credit offerings
Ability to contribute to strategic decisions and coordinate with multiple stakeholders. Develop consensus and gain buy-in for strategic priorities
Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
Strong ability to develop partnerships and collaborate with other business and functional area
Posting End Date:
25 Dec 2024We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in US:All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Date Posted: 21/11/2024
Job ID: 101034207
"Wells Fargo is committed to building an inclusive, sustainable recovery for all through a focus on opening pathways to economic advancement, championing quality, affordable homes, empowering small businesses to thrive, and enabling a just, low-carbon economy.
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