Vice President - Data Strategy jobs at Wells Fargo in India, Bengaluru

• 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.

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.

In this role, you will:

• Organize and lead complex companywide initiatives to ensure that data quality is maintained so that data can effectively support business processes
• Oversee analysis and reporting in support of regulatory requirements
• Identify and recommend analysis of data quality or integrity issues
• Evaluate data quality metrics and data quality audits to benchmark the state of data quality
• Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures
• Identify new data sources and develop recommendations for assessing the quality of new data
• Lead project teams and mentor less experienced staff members
• Recommend remediation of process or control gaps that align to management strategy
• Serve as relationship manager for a line of business
• Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility
• Represent client in cross-functional groups to develop companywide data governance strategies
• Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to coordinate and drive collaboration on solution design and remediation execution

Required Qualifications:

• 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Strong negotiation and leadership abilities
• Ability to supervise by distributing work and providing work direction
• Knowledge and understanding of financial services industry: wealth management, brokerage, or retirement
• Knowledge and understanding of Data Models, ERD, Dimensional Models and Metadata
• Experience using data analysis to identify trends
• Knowledge and understanding of Metadata
• Relational database experience
• Knowledge and understanding of big data (Hadoop) environment
• XML (Extensible Markup Language) experience
• Experience delivering Business Intelligence (BI), analytics and reporting using API Services architecture
• 5+ years of experience using SQL within a variety of database sources such as SAS, Oracle, or Teradata, Python experience
• Scripting and automation experience
• Knowledge and understanding of Data Models, ERD, Dimensional Models and Metadata
• Knowledge and understanding of data modeling tools, such as Power Designer

Job Expectations:

• Scope: Build out the WIM Data Catalogue, Taxonomy, Glossary & Dictionary starting with key use cases. Build the conceptual & logical data models across WIM & the linkage to the data catalogue
• Ability to lead the metadata & Modeling team(s) and drive direction and Strong partnership & influencing skills
• Strong knowledge of business architecture & wealth management domain.
• Experience driving the creation of a data taxonomy & catalogue. Ability to partner with business and technical SME’s
• Deep experience of business and metadata semantics, data analysis, data profiling
• Experience with relational databases and big data (Hadoop, S3) as well as with API’s (JSON, XML)
• Strong knowledge of Analysis Tools – SQL, Python, Scripting
• Experience with conceptual, logical, and physical data modeling
• Experience with modeling tools - e.g. Power-Designer, Hackolade, Erwin
• Strong Relational and object modeling skills and knowledge of knowledge Graphs
• Experience with auto-harvesting metadata and inferring metadata linkages a plus

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 moderately complex initiatives and deliverables within technical domain environments
• Contribute to large scale planning of strategies
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications:

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

Desired Qualifications:

• Overall 4+ years IT industry experience with all phases of SDLC
• 4+ years of experience with Waterfall and Agile project methodologies
• 4+ years of experience as a professional software engineer.
• 4+ years of experience in Spark application development and implementation.
• Holds very strong technical knowledge in Spark.
• Preferred knowledge and hands-on experience working with Hadoop Ecosystem and Big data technologies like Hive, Kafka, Hbase , NIFI and Data processing framework such as Spark.
• Hands-on experience with Data modeling, normalization, processing with Spark and SQL and Spark performance tuning knowledge.
• Excellent knowledge of OOPS concepts and familiarity in using Java.
• Experience using version control tools like GIT, CI/CD process and build tools like Gradle and Maven.
• Strong knowledge of Database concepts and UNIX bash scripting.
• Advantage of having knowledge with JOB schedulers like Autosys.
• Knowledge of docker images, containers, and container management framework like Kubernetes, including scheduling micro service deployment and creating services on kubernetes and handling ingres and egress.

Job Expectations:

• 4+ total years with working with business partners to breakdown requirements, manage technology delivery, educate the business on technology options, lead enterprise level initiatives and ensure that expectations are set and delivered on time and budget.
• 3+ years of experience working in Control Room Surveillance, Trade Surveillance or Compliance Risk, or Financial Services domain experience
• 3+ years of experience designing and implementing process solutions for automation
• Must be able to provide examples that they have the ability to multi-task and handle multiple technology initiatives at the same time.
• A detailed, logical thinker, problem solver & team player
• Experience working with onsite/offshore teams
• Experience with messaging services like JMS/Kafka a plus.

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 including those that are cross functional and have broad impact
• Act as key participant in large scale planning
• Review and analyze complex, multi-faceted, large-scale, and long-term business challenges that require in depth evaluation of multiple factors including intangibles or unprecedented factors
• Provide forward looking, strategic human resources consultation, resulting in comprehensive human capital strategies for a complex business or enterprise function
• Use understanding of business and enterprise goals to identify needs, opportunities, solutions, and risks relating to human resources programs and services, workforce productivity and engagement, organizational design and performance, talent management, and diversity and inclusion
• Assess and consult on the impact of human capital strategies, make recommendations for adjustments or enhancements, and ensure execution of the human capital plan to achieve business and risk objectives
• Partner with executive and more experienced leaders to anticipate opportunities to influence and lead change that will improve individual, team, and enterprise performance
• Embrace the Human Resources Operating Model by proactively and effectively collaborating with internal partners to positively influence outcomes

Required Qualifications:

• 5+ years of Human Resources Business Partner experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Master’s degree in human resource management
• Experience in managing employee count of 1400+, focusing on core HR activities like performance management & HR advisory
• Experience into GCC or BFSI industry

Job Expectations:

• Relevant experience in HR and relevant experience in working as HR Business Partner. Person should have managed senior stakeholders
• Strong analytical and communication skills
• Attention to detail and strong execution capability
• Ideally should have strong business partnership experience in a complex/ matrix organization
• Ideally should have experience in working in global GCC operating in the region

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:

• 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

Job Expectations:

• 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.

Wells Fargo Recruitment and Hiring Requirements:

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