About this role
Wells Fargo is seeking a Lead Data Science Consultant to support the Data Insights and Analytics (BIA) team within the Wells Fargo Home Lending (WFHL) group under Consumer Lending (CL) LoB. The role involves dissecting and comprehending complex high risk lending processes and corresponding dataflows. The primary objective is to pinpoint and analyze gaps within these processes, ensuring alignment with policies and regulations. This requires adept data analysis skills and a keen understanding of the intricacies of home lending to enhance compliance and mitigate risks effectively.
In this role, you will
- Lead complex initiatives by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, including those that are cross-functional with broad impact acting as key participant in large-scale planning
- Review and analyze complex, multi-faceted, larger-scale, or longer-term business, operational, or technical challenges that require in-depth hypothesis generation and advanced analysis of multiple parts, including intangibles or unprecedented factors
- Make decisions in complex and multi-faceted situations requiring an expertise in analytical thinking to resolve abstract business issues that influence and lead broader work team to meet deliverables and drive new initiatives
- Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to drive recommendations and strategies based on data driven, analytical insights, trends, and patterns that will resolve issues and achieve goals may lead projects, teams or serve as a peer mentor
- Execute complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
- Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies
- Provide consultation to peers on data science best practices, methods, and tools to leverage
- Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels
Required Qualifications, International
- 5+ years of experience in data science, or equivalent demonstrated through one or a combination of the following work experience, training, military experience, education
- 8+ years of overall experience
- Data Analysis Proficiency in extracting insights from large datasets, employing statistical methods, and utilizing tools like SAS, Python or SQL for thorough analysis
- Risk Assessment Ability to assess and quantify risks in business processes, employing statistical models and risk management techniques
- Process Mapping Expertise in mapping out complex processes while leveraging data, identifying key stages, and assessing potential areas of vulnerability or non-compliance
- Problem Solving Adept at identifying problems, proposing innovative solutions, and implementing process enhancements to address gaps in the lending procedures
- Strong written and verbal communication, presentation and inter-personal skills
- Basic understanding of the US Home Lending process
Desired Qualifications
- Domain and Regulatory Knowledge Understanding of home lending process and corresponding regulations and compliance standards
- Data Visualization Proficiency in creating compelling visualizations to communicate findings effectively, using tools like Tableau, Power BI, or other similar platforms
- Audit Experience Possess hands-on audit experience, demonstrating the ability to conduct thorough assessments of the processes, which includes a keen eye for detail.
Job Expectations
- Data Exploration and Analysis Dive into extensive datasets related to high-risk home lending processes, employing data analysis tools to extract meaningful insights, identify patterns, trends and anomalies that could impact compliance
- Risk Assessment and Mitigation Utilize risk management techniques to assess and quantify risks, while proposing and implementing strategies to mitigate these effectively
- Process Mapping Map out the end-to-end lending sub process in combination with the data process flow, identify key stages and potential bottlenecks, with good benchmarking strategies
- Collaboration with Stakeholders Work closely with cross-functional teams, including compliance and business units, to understand the details of the process, communicate findings, implement changes, and ensure a cohesive approach to risk management
- Communication and Reporting Clearly communicate complex findings and insights to both technical and non-technical stakeholders through viz reports and other appropriate channels
Ultimately the role is pivotal in ensuring that the organization's high-risk home lending processes are not only data-driven but also compliant with policies and regulations, thereby minimizing risks and fostering a secure lending environment.
Posting End Date
*Job posting may come down early due to volume of applicants.
We 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 USAll 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.
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