דרושים Risk Analytics Associate - Product Control 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 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:

• Support a variety of operational tasks for simple or routine securities
• Identify ways to improve the overall process
• Perform routine duties such as processing, reconciling transaction and research inquires
• Regularly receive direction from supervisor and escalate issues to more experienced roles
• Review less complex documents
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
• Interact with internal customers
• Receive direction from leaders and exercise independent judgment while developing the knowledge to understand function, policies, procedures, and compliance requirements

Required Qualifications:

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

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:

• Supervise entry to mid level roles in transactional or tactical less complex tasks and processes to ensure timely completion, quality and compliance
• Manage the implementation of procedures, controls, analytics and trend analysis to ensure identification, prevention execution, detection, investigation, recovery, government and internal reporting of financial crime activity
• Maintain awareness of financial crimes activity companywide and ensure all issues are proactively addressed, and escalated where necessary
• Ensure compliance with regulatory requirements such as Bank Secrecy Act, USA PATRIOT Act, and FACTA
• Identify opportunities for process improvement and risk control development in less complex functions
• Manage a risk based financial crimes program or functional area with low to moderate risk and complexity
• Lead implementation of multiple complex initiatives with low to moderate risk
• Make supervisory and tactical decisions and resolve issues related to team supervision, work allocation and daily operations under direction of functional area management
• Leverage interpretation of policies, procedures, and compliance requirements
• Collaborate and consult with peers, colleagues and managers
• Ensure coordination with team, line of business, other business units, Audit, and regulators on risk related topics
• Manage allocation of people and financial resources for Financial Crimes
• Mentor and guide talent development of direct reports and assist in hiring talent

Required Qualifications:

• 2+ years of Financial Crimes, Operational Risk, Fraud, Sanctions, Anti-Bribery, Corruption experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 1+ years of Leadership experience

Desired Qualifications:

• Anti -Money Laundering (AML) / Bank Secrecy Act (BSA) experience including strong knowledge and understanding of transaction monitoring.
• Experience leading a team responsible for conducting Financial Crimes/ AML / KYC related research, analyzing the results of the research, and summarizing the results of the research and analysis in a clear and concise manner.
• Proven and demonstrated leadership skills including relationship building, partnering and collaboration skills.
• Strong analytical skills with high attention to detail and accuracy.
• Strong verbal and written communication skills.
• Ability to identify, cross-reference, and articulate ambiguous information and act accordingly.
• Ability to execute in a fast paced, high demand, environment while balancing multiple priorities.
• Ability to think strategically, implement, and deliver business objectives.
• Strong time management skills and ability to meet deadlines.
• Microsoft Office (Word, Excel, and Outlook) skills
• ACAMS/ICA certification

Job Expectations:

• Ability to work from the approved location in the job posting
• Ability to work overlap US time zone and flexible 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:

• 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.