FCRM FCAMS Model/Non-Model Management - Analytics Consultant
Wells Fargo · Hyderabad · onsite · Posted today
Undisclosed2–7 yrsfulltimeSourced from
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About this role
About this role:
Wells Fargo is seeking a Analytics Consultant
In this role, you will:
- Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors
- Perform moderately complex data analysis to support and drive strategic initiatives and business needs
- Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements
- Lead or participate on large cross group projects
- Mentor less experienced staff
- Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals
- Leverage a solid understanding of compliance and risk management requirements for supported area
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:
- Expert: Advanced SQL (This is a mandatory requirement)
- Proficient: SAS Or Python
- Intermediate: Tera data
- Intermediate: Microsoft Office (Word, Excel, Outlook, and PowerPoint) skills
- UAT/regression testing experience on data outputs involving complex data mapping designs.
- Strong foundation in statistical modeling, machine learning algorithms
- Experience in conducting data quality analysis to support modelling
- Demonstrated experience with report and dashboard generation using large data sets, including non-standard data is desired but not mandatory
- Aptitude for synthesizing data to 'form a story'
- Eagerness and ability to learn new technologies and programming languages
- Intellectually curious, enjoy solving problems.
- Experience with RCSA process for implementing and managing system data expected output controls
- Prior experience enhancing AML Monitoring Models and Systems.
- Acquaintance with financial crimes /regulatory/fraud data
- Demonstrated experience supporting BSA/AML and sanctions/OFAC monitoring systems for global multi-channeled financial institution
Job Expectations:
- Provide analytical support on data utilized by the Financial Crimes Analytics and Monitoring models/programs.
- Perform analysis of findings and trends using statistical and/or financial analysis, modeling, process documentation, profitability analysis, customer/demographic analysis, etc.
- Identify business requirements and analytical needs; identify and recommend potential data sources; compile and mine data from multiple, cross-business sources
- Conduct data quality analysis to support modelling, including data profiling, reconciliation
- Consult with business line and enterprise functions on less complex research
- Use functional knowledge to assist in financial crime model/non-model quantitative tools that support strategic decision making
- Perform analysis of findings and trends using statistical analysis and document process
- Identify and define business requirements and translate financial crimes and business needs into research and recommendations to improve efficiency and effectiveness of the control
- 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
Sourced from naukri
Skills
data qualityFinancial crimeadvanced sqldata profilingFinancial CrimesBusiness Requirementsdata mappingDashboardAnalyticsfinancial institutionAlgorithmsfinancial analysisAmldata analysiscomplianceMachine Learning
About Wells Fargo
Wells Fargo
Financial Services
20k+
employees
1852
174 years old
Bengaluru/Bangalore, Karnataka
India
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Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.
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