FCRM FCAMS Model/Non-Model Management - Analytics Consultant
Wells Fargo is hiring an FCRM FCAMS Model/Non-Model Management - Analytics Consultant in Hyderabad, India. Level rates it ; you can apply on Wells Fargo.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include SQL, SAS and Python.
- Level classifies it as a mid-level role.
- Level lists 1,600+ other open roles at Wells Fargo.
- The role was posted in the last few days.
AI in this role
Perform data analysis, model management, and support financial crimes analytics and monitoring systems at Wells Fargo.
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
Posting End Date:
27 Oct 2026*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
How we rate this
FCRM FCAMS Model/Non-Model Management - Analytics Consultant at Wells Fargo rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
- Tell me about a project where aml was part of your work. What did you do?
- Tell me about a project where compliance was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Analysis, Statistical Modeling, Aml, Compliance, and Risk Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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