Risk Analytics Consultant jobs at Wells Fargo in 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 low-risk initiatives within Risk Analytics
• Review process production, and model documentation in alignment with policy, analyzing trends in current population
• Receive direction from manager
• Exercise judgment within Risk Analytics while developing understanding of analytic models, policies, and procedures
• Provide monthly, quarterly, and annual reports to manager and experienced managers

Required Qualifications:

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

Desired Qualifications:

• Join the Independent Quality Assurance (IQA) team within the Corporate Risk Reporting & Analysis (CRRA) group.
• Conduct report-level and dashboard testing in alignment with established quality assurance standards.
• Reconcile CRRA report outputs with authoritative data sources based on defined business requirements.
• Perform independent recalculations to validate the accuracy of reported information.
• Review report content to ensure compliance with quality control guidelines.
  Maintain effective communication with the reporting team to stay informed about report updates and changes.
• Deliver timely and comprehensive reporting of QA results to the reporting team.
• Contribute to low-risk initiatives within the Risk Analytics function.
• Review production processes and model documentation to ensure alignment with policy, and analyze trends within current data populations.
• Operate under the guidance of the manager while exercising sound judgment within Risk Analytics.
• Develop a working understanding of analytic models, policies, and procedures.
• Prepare and submit monthly, quarterly, and annual reports to the manager and senior leadership.
• 1–3 years of experience in Operational Risk, or equivalent demonstrated through a combination of professional experience, education, training, or military service.
• Proficiency in business intelligence and workflow tools such as Power BI, Tableau, and JIRA.
• Hands-on experience with SQL and Python for data analysis and automation.
• Strong technical aptitude with proven problem-solving capabilities.
• Excellent communication skills, high initiative, and strong interpersonal and collaboration abilities.
• Demonstrated critical thinking and analytical skills, with the ability to conduct reconciliation activities and effectively report findings.
• Results-oriented mindset with a commitment to delivering high-quality work.

Job Expectations:

• Should be in office for 3 days and for 8 hours.

Wells Fargo Recruitment and Hiring Requirements:

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

About this role:

In this role, you will:

• Perform highly complex activities related to creation, implementation, and documentation
• Use highly complex statistical theory to quantify, analyze and manage markets
• Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
• Utilize structured securities and provide expertise on theory and mathematics behind the data
• Manage market, credit, and operational risks to forecast losses and compute capital requirements
• Participate in the discussion related to analytical strategies, modeling and forecasting methods
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Required Qualifications:

• 4+ years of Quantitative Analytics 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

Desired Qualifications:

• Masters/Ph.D in Quantitative area with prior experience in Market and Counterparty Credit risk

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:

• 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.

About this role:

In this role, you will:

• Perform highly complex activities related to creation, implementation, and documentation
• Use highly complex statistical theory to quantify, analyze and manage markets
• Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
• Utilize structured securities and provide expertise on theory and mathematics behind the data
• Manage market, credit, and operational risks to forecast losses and compute capital requirements
• Participate in the discussion related to analytical strategies, modeling and forecasting methods
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Required Qualifications:

• 4+ years of Quantitative Analytics 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

Desired Qualifications:

• Proven experience as Model Validator/ Model Developer in the industry. Exposure to Banking Book is highly desirable
• Candidate should have a strong understanding of Balance Forecasting models /Loss forecasting models /PPNR/fee models /Econometric models.
• Candidate should have an excellent business understanding especially the Wholesale/Commercial portfolio (Banks, Corporate, Real estate, Specialized lending). The ideal candidate will bring in deep domain knowledge and advanced technical skills to drive sophisticated Credit risk validation initiatives across Commercial portfolio.
• Deep understanding on how different economic factors interact, how theoretical model translated into a mathematical equation, would be an added advantage.
• Candidate should be well versed with concept like Estimation, Backtesting, sensitivity, Shock/Scenario creation, Pandemic data management, coefficient stability analysis.
• Proven experience using techniques like Time Series Forecasting, Regression, Machine learning,
• Ideal candidate should be well versed in credit risk modelvalidation/developmentof models (PD, LGD and EAD, LGD models, stress tests) for credit portfolio of the bank as per regulatory guidelines.
• Skill to apply regulatory requirements outlined in SR11-7, CCAR CECL/IFRS9, and other regulations and rules to conducting model validation assignments.
• Ability to develop comprehensive technical documentation including - Validation reports, Model risk findings, Regulatory compliance documentation.
• Candidate must have hands on experience on Python, Pyspark and related libraries and code development skills (e.g., Python, Pyspark, Pyfarm) .
• Experience in performing model validations and clearly documenting evidence of validation activities. Communicating model risk findings and limitations to key stakeholders (preferred).
• 4+ years of experience with minimum Masters in a quantitative field such as Statistics/ Econometrics/ Finance/Computer sciences or any other behavioral sciences with a quantitative emphasis.

Job Expectations:

• MRM serves as the second line of defense to ensure the integrity of Wells Fargo’s model inventory.
• A Senior Quantitative Analytics Specialist is an individual contributor role.
• This position will focus primarily on Commercial Credit and Corporate Economic group model validations. A validation project typically begins and ends with the analyst, requiring broad and continuous attention to detail, comprehensive documentation, and interactions with developers.
• A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solutioning business problems. He/she should approach the problem agnostic of analytic technique, tool or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member.

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.