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Advanced Risk Analytics Strategist
1 month ago
We are seeking a highly motivated and talented Advanced Risk Analytics Strategist to join our Consumer Lending Credit Card team at Wells Fargo Bank.
Job SummaryThis role involves leading or participating in moderately complex initiatives, delivering insights and decision strategies within analytics and reporting, and contributing to large-scale planning related to Risk Analytics.
Responsibilities- Lead or participate in moderately complex initiatives and deliver insights and decision strategies within analytics and reporting.
- 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 teams 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 the development of common modeling strategies.
- 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, education.
- The incumbent would functionally contribute as an SME to the Consumer Lending Credit Cards risk team and execute relatively large and complex projects with moderate to high risk for the line of business.
- Leads significant initiatives and processes and partners with line of business management to drive the company risk management culture 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.
- Leads or assists in the development of predictive strategies/solutions across customer life cycles, for example, identifying credit risk, understanding authorizations data/authorizations strategies, good understanding of key performing metrics at authorization level, etc.
- Analyzes big data and understands/monitors trends to provide actionable insights across a range of risk analytics initiatives.
- Develops comprehensive monitoring frameworks and dashboards and provides statistically sound diagnostic evaluations of any emerging or unexpected risk areas to enhance intelligence and facilitate faster decision-making.
- Develops new and enhances existing models/prototypes for managing fraud risk, payment risk, credit bust-outs, etc. Evaluates new data sources and attributes, internal and external from extensive case reviews for efficacy in models.
- Develops complex programming models to extract data and/or manipulate databases such as ORACLE, Teradata.
- Ensures resolution of matters requiring attention (MRA) from outside regulators, Audit, Corporate Model Risk, or internal review teams. May partner with other business units, Audit, Legal, regulators, and industry partners on risk-related topics.
- To be effective in this position, you will need to have a good understanding of credit/fraud, 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/fraud judgment.
- 3+ years of progressive experience in credit and risk analytics roles.
- 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, Macros, R, Python, E-miner, Tableau.
- 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 projects 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.
$110,000 - $140,000 per annum, depending on experience and qualifications. In addition to the competitive salary, we offer a range of benefits, including medical, dental, and vision insurance, 401(k) matching, paid time off, and opportunities for professional growth and development.
Work EnvironmentThis role is based in a dynamic and fast-paced environment with a focus on delivering results and driving business outcomes. The successful candidate will be working closely with a team of experienced professionals who share a passion for risk analytics and a commitment to excellence.
