Data Science Consultant for Process Hacking in Home Lending

About this role:

Wells Fargo is seeking a 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:

Participate in low to moderately complex initiatives by utilizing data-driven, advanced analytical and statistical techniques to identify trends, diagnose problems, and build actionable insights or recommendations

Review and analyze business, operational, technical assignments, or challenges that require research, evaluation, and selection of alternatives to convert data into meaningful insights and recommendations

Exercise independent judgment to guide medium risk business hypothesis generation

Present recommendations and insights for resolving low to moderately complex business needs and problems exercise independent judgment while developing an expertise in analytic capabilities

Collaborate and consult with functional colleagues, internal partners, and stakeholders to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns

Conduct low to moderately complex predictive analytics to build actionable insights and recommendations

Design and apply algorithms to mine large sets of structured and unstructured data from various sources

Ensure data completeness, accuracy, and uniformity through cleaning and validation

Interpret and analyze data, using advanced analytics modeling methods and programming, to isolate patterns that lead to recommendations to solve problems and influence business decisions and strategies

Required Qualifications:

2+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

4+ 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:

29 Apr 2024

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.

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Full time