Wells Fargo Lead Data Science Consultant 

India, Telangana, Hyderabad 

562996415

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 :

• 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.

26 Aug 2024

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.