דרושים Vice President Corporate Risk Finance 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.

• About this role:

In this role, you will:

• Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory
• 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
• Qualify monitor markets and forecast credit and operational risks
• Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives
• Utilize stochastic, structured securities, spread analysis, with expertise in the theory and mathematics behind the analysis
• Review and assess models inclusive of technical, audit, and market perspectives
• Identify structure and scope of review
• Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models
• Collaborate and consult with regulators and auditors
• Present results of analysis and strategies

Required Qualifications:

• 5+ 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:

• Think critically to identify and prevent risk in data, solutions, and procedures.
• Perform root-cause analysis using Java and python on data issues and drive implementation for remediation.
• Perform reconciliations to source (or system of record) and highlight anomalies.
• Perform various complex analytics activities related to solution design on data solutions.
• Ability to prototype, design or develop automated solutions to business problems.
• Ability to take initiative, identify inefficiencies and opportunities and implement change using python and Java.
• Ability to manage process improvement initiatives to optimize operational effectiveness and efficiencies.
• Provide analytical support for evaluating, implementing, monitoring, and executing data strategy and execution solutions.
• Work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability and respect and partnering skills are important.
• Partnership with Technology teams to debug, enhance and improve the capabilities of the new strategic valuation, risk, and Market Data Platforms using Java and python.
• Integration of various data inputs to pricing and risk analytics libraries in collaboration with other quant teams.
• Consistently deliver high-quality software and documentation in an Agile SDLC
• Use quantitative and technological techniques to solve complex business problems.
• Masters or above in quantitative disciplines like Computer Science/Finance
• Experience working in similar role dealing with Python/Java
• Strong analytical skills with ability to draw conclusions and translate findings from data.
• Possess strong Java Functional and Python programming skills with experience in working with analyzing and interpreting large datasets and data manipulation using Java Lambda expression, Java evaluators, Immutability, and Python NumPy, Pandas, SciPy and Scikit modules.
• Participate in complex software design & development activities within an Agile environment.
• Ability to develop and drive a project from inception to delivery.
• Experience developing Enterprise scale software platforms.
• Meet deliverables while leveraging solid understanding of policies, procedures, and compliance requirements.
• Show your hands-on coding experience of functional programming in git-hub.
• Quant or financial experience or the keen to learn them.

Job Expectations:

• Candidate should be able to create and debug complex projects in Python using advance Object Oriented programming utilizing class, dataclasses, generators, decorators, error handling, logging, modules
• Candidate should have experience performing complex data transformation and data wrangling using pandas and numpy like grouping, aggregation methods, pivoting, handling invalid values etc
• Candidate should have experience in visualization libraries like mathplotlib, plotly, seaborn and should be familiar about how to analyze datasets in line graph, scatter plot, heatmaps etc
• Candidate should be able to work on analytical functions and techniques
• Candidate should be able to work on datasets across different data sources comprising of remote file servers, Relational DBs, Distributed file systems like HADOOP and NoSql DBs. Candidate should have experience to analyze/compare datasets across such multiple systems
• Candiate should be able to have experience in enterprise level CI/CD solutions like Jenkins, Docker, Kubernetes
• Candidate should have experience building dashboard in Django, Flask, Streamlit or Dash
• Candidate should be able to debug enterprise level Java Springboot (or similar)

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.

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.

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.

Job Description

In this role, you will:

• Lead complex initiatives with broad impact and act as key participant in large-scale planning for Securities Quantitative Analytics
• We are looking at a Rates Quant with C++/java 8 (Functional Programming) proficiency to cater to the Interest Rates Options Desk.
• Work in our quant library in C++, as needed, to adapt our generic models to specific use cases.
• Understanding valuation of basic products like Treasury Bonds, Interest Rate swaps.
• Collaborate with and support Front office Trading, Technology Partners, and ModelValidation/Governanceteams.
• Lead complex initiatives with broad impact and act as key participant in large-scale planning for Securities Quantitative Analytics
• Review and analyze complex multi-faceted, larger scale or longer-term business, operational, or technical challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors
• Use quantitative and technological techniques to solve complex business problems
• Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation
• Resolve issues and achieve goals
• Make decisions on complex and multi-faceted situations requiring understanding of Securities Quantitative Analytics, policies, procedures, and compliance requirements
• Influence and lead the broader work team to meet deliverables and drive new initiatives
• Lead projects, teams, or serve as a peer mentor
• Collaborate and consult with peers, colleagues, and mid-level senior managers
• Play an integral role to the trading floor
• Develop automated trading algorithms, create cutting-edge derivative pricing models and empirical models, to provide insight into market behavior
• Review and analyze complex multi-faceted, larger scale or longer-term business, operational, or technical challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors
• Use quantitative and technological techniques to solve complex business problems
• Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation
• Resolve issues and achieve goals
• Make decisions on complex and multi-faceted situations requiring understanding of Securities Quantitative Analytics, policies, procedures, and compliance requirements
• Influence and lead the broader work team to meet deliverables and drive new initiatives
• Lead projects, teams, or serve as a peer mentor
• Collaborate and consult with peers, colleagues, and mid-level senior managers
• Play an integral role to the trading floor

Required Qualifications:

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

Desired Qualifications:

• Play an integral role on the trading floor on Interest Rates Options and help solve their problems.
• Participating in model development and deployment
• Participating in model software implementation
• Writing code (in Java 8-functional programming) and refactoring code
• Testing and testing documentation
• Participating in unit testing, large scale Quant testing, pre-integration testing, integration testing, regression testing, UAT
• Participation in issue resolution
• Debugging case preparation (to produce isolated cases to demonstrate the issues) for the Rates Quants
• Debug and conclude data issues/model input issues
• Part of the model documentation
• Production of health monitoring tools
• Participating in the creation, execution and development of Front Office test plans
• Actively participating and contributing to team discussions on project specific areas/assignments
• Maintaining proper documentation of all processes and keeping the code up to date
• Answering ad hoc questions from various stakeholders including US Front Office Quants, populating templates or creating newreports/extracts/resultsas requested by stakeholders

Job Expectations:

• A master’s or PhD in quantitative fields such as math, statistics, engineering, physics, economics, computer sciences, etc.
• Min 5+ years of relevant experience in Securities Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Min 5+ years' experience in Rates Quant
• Excellent verbal, written, presentation and interpersonal communication skills
• Hands-on experience in programming in JAVA-8(functional programming)
• Good writing skills
• A PhD in Math (Mathematical Finance is a Plus), Physics, Engineering or Computer Sciences is an added advantage
• 5+ years' experience coding in Java or C++

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.