דרושים Credit Portfolio Consultant ב-Wells Fargo ב-India, Bengaluru

In this role, you will:

• Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
• Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported
• Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line
• Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives
• Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals
• Lead projects, teams, and mentor

Required Qualifications:

• 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• 5+ years of experience SQL, Teradata, and or Hadoop experience.
• 5+ years of experience with BI tools such as Tableau or Power BI applications.
• 3+ years of experience in risk (includes compliance, financial crimes, operational, audit, legal, credit risk, market risk).
• Experience researching and resolving data problems and working with technology teams on remediation of data issues.
• Demonstrated strong analytical skills with high attention to detail and accuracy.
• Excellent verbal, written, and listening communication skills.

Job Expectations:

• Manage and maintain data and relationships with partners for one or more systems of records.
• Participate in monthly data load and reconciliation activities to ensure accuracy, integrity, and completeness for downstream consumption and usage
• Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation and monitoring for Risk Analytics.
• Design and build rich data visualizations to communicate complex ideas and automate reporting and controls.
• Create and interpret Business Intelligence data (Reporting, Basic Analytics, Predictive Analytics and Prescriptive Analytics) combined with business knowledge to draw supportable conclusions about current and future risk levels.
• Becomes a SME in the Reporting, Data Quality check elements, technology infrastructure utilized, and fully understands the metadata and lineage from DQ report to source data.
• To demonstrate the ability to identify and implement areas of opportunities for quality assurance, data validation, analytics and data aggregation to improve overall reporting efficiencies.
• Creating and executing the UAT test cases, logging the defects and managing the defects till closure.
• Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead analytics and reporting to meet deliverables and drive new initiatives
• Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals.
• Lead projects, teams, and mentor.

Wells Fargo Recruitment and Hiring Requirements:

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

In this role, you will:

• Participate in a variety of assigned and ongoing business operations to ensure success in meeting business goals and objectives
• Identify opportunities for process improvement by conducting root cause testing of all compliance and business metrics
• Determine areas of strength or Business Execution opportunity within defined scope of work
• Review and research strategies and action plans to establish effective processes while meeting performance metrics and policy expectations
• Utilize independent judgment to guide moderate risk deliverables
• Present recommendations to develop, implement, and monitor strategic approaches, effectiveness of support function, and business performance improvement opportunities for managing risks of the business
• Exercise independent judgment and provide guidance in diverse support functions and operations for a single business group within a line of business
• Collaborate and consult with leaders and executive management
• Provide work direction to less experienced Strategy and Execution staff

Required Qualifications:

• 2+ years ofBusiness Execution, Implementation, or Strategic Planningexperience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Experience inBusiness Execution, Implementation, or Strategic Planning, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Bachelor’s degree in business administration, Information Technology, or a related field.
• experience in incident management, business operations, or consulting roles.
• Experience in preparing PowerBI dashboards
• Excellent communication and stakeholder management skills.
• Strong analytical, decision-making, and problem-solving abilities.
• Proficiency in incident management tools

Job Expectations:

• Develop, publish and manage PowerBI reporting for Incident Management.
• Supporting ad-hoc reporting requirements.
• Deliver detailed reports on incident trends, resolution timelines, and root cause analyses.
• Work closely with business leaders to align incident management efforts with organizational priorities.
• Utilize analytics and monitoring tools to assess incident trends and propose data-driven solutions.
• Oversee the business execution of incident management practices to ensure timely and effective resolution of incidents.
• Conduct impact assessments to evaluate how incidents affect business operations.
• Implement proactive measures to mitigate the risk of recurring incidents.
• Serve as the primary business liaison during incident escalations, providing clear and concise updates to leadership and stakeholders.
• Leverage Incident Management tools to manage incident lifecycles effectively.

Nigh shift rotational - 18:30 to 03:30 and 21:30 to 06:30

Wells Fargo Recruitment and Hiring Requirements:

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

In this role, you will:

• Participate in performing financial research, underwriting, and structuring of highly complex private banking as well as consumer and mortgage relationships within Commercial Banking Portfolio Management functional area
• Review and research business financial statements and tax returns that require an in-depth evaluation of multiple factors
• Resolve moderately complex issues and lead Commercial Banking Portfolio Management team, to meet project deliverables, while leveraging solid understanding of the function, policies, procedures, and compliance requirements
• Collaborate and consult with Commercial Banking Portfolio Management peers, colleagues, and mid level managers to resolve issues and achieve goals
• Lead projects and teams or serve as a mentor for less experienced individuals

Required Qualifications:

• 4+ years of Commercial Banking Portfolio Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• MBA Finance (mandatory)/CFA/ Chartered Accountants
• Experience in assessing credit worthiness of the borrowers based on qualitative and quantitative factors.
• Distinguishes between critical and irrelevant pieces of information. Gathers information from a variety of sources to reach a conclusion.
• Working Knowledge of Credit Products life cycle specially on commercial loan products.
• Ability to prepare internal memorandums while identifying and mitigating risk
• Strong knowledge of preparation and analysis of projected and proforma based financial statements.
• Strong knowledge on GAAP Accounting / International Financial Reporting Standards
• Sound knowledge of ratio analysis, cash flow, and trend analysis.
• Should have experience of financial spreading across all the industries.
• Ability to read & analyze financialstatements.
• Should be able to handle subjectivity in the financial analysis and substantiate with reasons.
• Excellent communication skills.
• Excellent knowledge of MS office application.
• Should be flexible to stretch as per business requirement.
• Able to multi-task to accomplish tasks effectively.
• Analytic skill.
• Attention to detail.
• Ability to work quickly & accurately while maintaining acceptable standards of workmanship.
• Ability to recognize and escalate to management for any process breaches.
• Highly motivated with strong organizational.
• Flexibility to work in different shifts.
• Ability to succeed in a team environment.

Job Expectations:

• Responsible for performing financial analysis, calculating financial covenants, calculating yield, performing industry analysis, performing revenue analysis and preparing the financing memorandum
• Responsible for independently handling a variety of complex deals.
• Response independently to large and complex issues.
• Works under senior staff on more large and complex deals.
• Has comprehensive product and industry knowledge.
• Responsible for analyzing complex companies and industries, conducting credit analysis such as assigning credit rating for portfolios as well as underwriting, and providing reliable QC of junior team members’ work depending on requirement.
• Includes end to end responsibility of completing the request received from client includes financial spreading in credit analysis tool, analyzing financial statements, identification of trend and provide financial commentaries on cause and effect on identified trend as per business requirement.
• Responsible to complete Pro forma adjustments based on the projected financial information for assigning credit rating for underwriting requests.
• Responsible for Industry analysis, Internal and external risk factors of the borrower and more importantly a superior business writing and good communication skills.
• Should be able to analyze Company’s management and borrower/ guarantor’s strength & weaknesses.
• Responsible for assessing the repayment capacity of the highly leveraged Borrower’s.

Wells Fargo Recruitment and Hiring Requirements:

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

In this role, you will:

• Consult with business line and enterprise functions on less complex research
• Use functional knowledge to assist in non-model quantitative tools that support strategic decision making
• Perform analysis of findings and trends using statistical analysis and document process
• Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance
• Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency
• Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing
• Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff
• Understand compliance and risk management requirements for supported area
• Ensure adherence to data management or data governance regulations and policies
• Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals
• Collaborate and consult with more experienced consultants and with partners in technology and other business groups

Required Qualifications:

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

Desired Qualifications:

• Hands-on Proficiency in Business Intelligence (BI) particularly Microsoft Power BI, MS Fabric, Power Automate and Power Platforms.
• Hands-on Proficiency in any or all of the programming languages used for analytics & data science such as SAS, Python, PySpark, Spark SQL or Scala.
• Hands-on strong knowledge of SQL and experience with database management systems (e.g., Teradata, PostgreSQL, MySQL, or NoSQL databases).
• Familiarity with data warehousing and big data technologies (e.g., Hadoop, Spark, Snowflake, Redshift).
• Experience with ELT/ETL tools and data integration techniques.
• Experience optimizing code for performance and cost.
• Comfortable with using code and agile process management tools like GitHub and JIRA.
• Someone with an exposure towards developing solutions for high volume, low latency applications and can operate in a fast paced, highly collaborative environment.
• Provide production support for data assets and products as required.
• Knowledge of data modelling and data warehousing best practices.
• Understanding of data governance, data quality, and data security principles.
• Strong problem-solving and communication skills.
• Ability to work in a collaborative team environment.
• Knowledge of cloud platforms (e.g., Azure and/OR Google Cloud) is a plus.

Job Expectations:

• Design, develop, and maintain ETL (Extract, Transform, Load) / ETL processes and data pipelines to move and transform data from various sources into a centralized data repository.
• Design, implement, and optimize data warehouses and data lakes to ensure scalability, performance, and data consistency.
• Create and manage data models to support business requirements, ensuring data accuracy, integrity, and accessibility.
• Integrate data from diverse sources, including databases, APIs, third-party services, and streaming data, and ensure data quality and consistency.
• Cleanse, transform, and enrich raw data to make it suitable for analysis and reporting.
• Implement and enforce data security measures to protect sensitive information and ensure compliance with data privacy regulations (e.g., GDPR, HIPAA).
• Independently build, operate, maintain, enhance, publish and sunset BI Products (own end-to-end life cycle) across enterprise stakeholders along with up-to-date maintenance of all required documentation and artefacts such as SOPs, previous versions, secondary quality reviews, etc. in various BI tools such as Tableau, PowerBI, etc.
• Continuously monitor and optimize data pipelines and databases for improved performance and efficiency.
• Develop and implement automated testing procedures to validate data quality and pipeline reliability.
• Maintain thorough documentation of data processes, schemas, and data lineage to support data governance efforts.
• Collaborate with wider team such as data scientists, analysts, software engineers, and other stakeholders to understand their data requirements and provide data solutions that meet their needs.
• Utilize version control systems to manage code and configurations related to data pipelines.
• Diagnose and resolve data-related issues and provide technical support as needed.
• Working Hours: 1:30PM-10:30PM India Time

Wells Fargo Recruitment and Hiring Requirements:

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

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:

• 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 / scenario analytics.
• Detailed understanding of risk domain; Strong Risk analytics skills and understanding of P&L, drivers
• Proven expertise in strategy development , scenario analysis, and performance tracking in a credit risk environment.
• Strong command of technical tools including SAS, SQL, Python, R, VBA, Tableau, and SAS Visual Analytics.
• 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/otherquantitative 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

Job Expectations:

• The incumbent would functionally contribute as a Senior Risk Analytics Consultant to the Credit Card - Credit Risk team and execute relatively large and complex projects with moderate to high risk for the line of business.
• Support 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 seniorleadership. Actsas a subject matter expert for senior leaders.
• Establishes effective policies, processes, and tools to identify and manage risks. Uses predictive sciences for developing future ready solutions.
• Participate in discussions with key stakeholders from business & risk functions to explain the portfolio performance numbers.
• Develop and execute Collections strategies that optimize treatments, recovery, reduce Net Credit Loss (NCL), and align with the bank’s credit risk appetite.
• Reports on portfolio trends, credit policy exceptions across various credit, vintage, product, offer, channel, risk segments using visualization tools such as Excel VBA, Tableau and/or SAS Visual Analytics.
• 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.
• Strong analytical mindset with the ability to connect data insights to business strategy .

Wells Fargo Recruitment and Hiring Requirements:

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

Wells Fargo Recruitment and Hiring Requirements:

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

In this role, you will:

• Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
• Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported
• Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line
• Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives
• Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals
• Lead projects, teams, and mentor

Required Qualifications:

• 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Proven experience in market risk analytics , stress testing, and regulatory reporting.
• Advanced proficiency in SQL and Python , including experience with data pipelines, statistical modeling, and automation.
• Strong understanding of data governance , integrity frameworks, and risk data aggregation principles.
• Ability to work independently while influencing and mentoring peers and junior team members.
• Excellent communication and stakeholder management skills.

Job Expectations:

• Lead and execute advanced business modeling and analytics initiatives with broad organizational impact, particularly in stress testing and portfolio analysis.
• Design, review, and optimize complex programming models to extract, transform, and analyze data from large-scale databases using SQL and Python.
• Drive pilot programs derived from analytical models, ensuring successful rollout and adoption across supported business units and product lines.
• Make strategic decisions on product modeling, risk exposure, and data architecture, with a deep understanding of regulatory frameworks, compliance requirements, and internal policies.
• Collaborate and consult with cross-functional teams, including risk analysts and managers, to resolve production and regulatory issues and align on modeling goals.
• Mentor and guide team members by sharing technical expertise, promoting best practices, and fostering a culture of continuous learning and innovation.

Wells Fargo Recruitment and Hiring Requirements:

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