Taguig City, 00
Open 3 months, first seen by us 94 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Wells Fargo is seeking a Senior Analytics Consultant.
Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors
Lead design and delivery of front-line monitoring analytics for conduct and compliance risk
Build anomaly detection and trend monitoring solutions using Python, SQL and SAS
Lead SAS-to-Python migration and GCP analytics adoption
Set analytics standards, review peer work and mentor junior consultants
Use LLMs and NLP to extract risk signals from unstructured data
Wells Fargo is seeking a Senior Analytics Consultant. The role is essential to BOS’s shift toward an AI‑first, agentic Front Line Monitoring model, with LLMs and unstructured data analytics at the core. The role enables scalable use of LLMs, NLP, and agentic workflows to extract risk signals from qualitative data and reduce manual, judgment‑heavy processes. It provides the senior technical ownership needed to ensure explainable, auditable, and production‑ready AI adoption. Without this role, BOS faces delivery risk to its AI modernization agenda and delayed realization of signal‑quality and productivity gains already identified as strategic priorities
Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors
Lead the design, delivery, and evolution of front‑line monitoring analytics to detect conduct, operational, and compliance risks across BOS.
The individual will lead complex analytical solutioning using Python, SQL, and SAS, overseeing data preparation, metric and feature design, anomaly detection frameworks, and visualization outputs.
including SAS‑to‑Python migration, adoption of GCP‑based analytics environments, and automation of monitoring workflows.
the role will set analytics standards, drive documentation and reusability, review peer work, and mentor junior consultants.
The role enables scalable use of LLMs, NLP, and agentic workflows to extract risk signals from qualitative data
4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Experience working in GCP or cloud‑based analytics platforms
30 Jan 2027*Job posting may come down early due to volume of applicants.
Strong SQL skills with experience handling large, complex datasets
Strong experience designing and reviewing visualizations in Power BI, Tableau, and Python
Open 3 monthsWe first saw this posting 94 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 94
Up longer than most. Similar jobs usually come down between day 4 and day 77.
Well past WF Group’s usual: its jobs come down by about day 6.
From 51 similar postings that came down, and 295 of WF Group’s. Coming down is not always a hire.
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Desired Qualifications: - Advanced hands‑on expertise in Python for analytics, anomaly detection, and scalable monitoring solutions - Practical exposure to agentic AI and LLM usage for analytics acceleration or automation
- Solid working knowledge of SAS within risk monitoring or regulatory environments - Strong experience designing and reviewing visualizations in Power BI, Tableau, and Python - Proven ability to lead end‑to‑end analytical solution design and guide junior team members
- Lead the design, delivery, and evolution of front‑line monitoring analytics to detect conduct, operational, and compliance risks across BOS. The role will own end‑to‑end risk monitoring solutions that identify trends, anomalies, and outliers, driving improvements in monitoring coverage, consistency, scalability, and timeliness. - The individual will lead complex analytical solutioning using Python, SQL, and SAS, overseeing data preparation, metric and feature design, anomaly detection frameworks, and visualization outputs. - The role will provide technical leadership across multiple monitoring initiatives, ensure analytical rigor, and guide effective escalation and risk insights.
- The role will provide technical leadership across multiple monitoring initiatives, ensure analytical rigor, and guide effective escalation and risk insights. - The role will play a key leadership position in BOS analytics modernization, including SAS‑to‑Python migration, adoption of GCP‑based analytics environments, and automation of monitoring workflows. In addition to hands‑on contribution where needed, the role will set analytics standards, drive documentation and reusability, review peer work, and mentor junior consultants. Exposure to agentic AI, LLM‑enabled analytics, and advanced modeling approaches is strongly preferred. - Is critical to delivering BOS Front Line Monitoring’s 2026 mandate to drive Risk Clarity and Operational Excellence through AI‑powered analytics modernization.
- Is critical to delivering BOS Front Line Monitoring’s 2026 mandate to drive Risk Clarity and Operational Excellence through AI‑powered analytics modernization. - BOS has explicitly committed to transforming monitoring from rule‑centric, fragmented alerting to AI‑driven, behavioral, and trend‑based solutions, with Python, cloud (GCP), and agentic AI as the default operating model. - This role provides the senior technical ownership required to design and scale end‑to‑end monitoring solutions, lead SAS‑to‑Python migration, automate workflows, and ensure analytics remain explainable, defensible, and audit‑ready as complexity and volume increase.
- BOS has explicitly committed to transforming monitoring from rule‑centric, fragmented alerting to AI‑driven, behavioral, and trend‑based solutions, with Python, cloud (GCP), and agentic AI as the default operating model. - This role provides the senior technical ownership required to design and scale end‑to‑end monitoring solutions, lead SAS‑to‑Python migration, automate workflows, and ensure analytics remain explainable, defensible, and audit‑ready as complexity and volume increase. - The role also enables leverage of existing talent by setting standards, mentoring junior consultants, and operationalizing AI and agentic capabilities that BOS has identified as foundational—not optional—to how Front-Line Monitoring operates day to day.
- Strong SQL skills with experience handling large, complex datasets - Solid working knowledge of SAS within risk monitoring or regulatory environments - Strong experience designing and reviewing visualizations in Power BI, Tableau, and Python
- Experience working in GCP or cloud‑based analytics platforms - Strong SQL skills with experience handling large, complex datasets - Solid working knowledge of SAS within risk monitoring or regulatory environments
- Practical exposure to agentic AI and LLM usage for analytics acceleration or automation - Experience working in GCP or cloud‑based analytics platforms - Strong SQL skills with experience handling large, complex datasets
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Yes. We’ve followed 2 other Senior Analytics Consultant jobs there since November 2026. 2 came down, usually after about 3 days.
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
About this role:
Wells Fargo is seeking a Senior Analytics Consultant. The role is essential to BOS’s shift toward an AI‑first, agentic Front Line Monitoring model, with LLMs and unstructured data analytics at the core. The role enables scalable use of LLMs, NLP, and agentic workflows to extract risk signals from qualitative data and reduce manual, judgment‑heavy processes. It provides the senior technical ownership needed to ensure explainable, auditable, and production‑ready AI adoption. Without this role, BOS faces delivery risk to its AI modernization agenda and delayed realization of signal‑quality and productivity gains already identified as strategic priorities
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:
4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
Advanced hands‑on expertise in Python for analytics, anomaly detection, and scalable monitoring solutions
Practical exposure to agentic AI and LLM usage for analytics acceleration or automation
Experience working in GCP or cloud‑based analytics platforms
Strong SQL skills with experience handling large, complex datasets
Solid working knowledge of SAS within risk monitoring or regulatory environments
Strong experience designing and reviewing visualizations in Power BI, Tableau, and Python
Proven ability to lead end‑to‑end analytical solution design and guide junior team members
Strong understanding of data modeling, feature engineering, and analytics architecture
Prior experience driving analytics standardization or modernization initiatives
Job Expectations:
Applicants must be amenable to work onsite.
Applicants must be amenable to work on mid shift and night shift
Lead the design, delivery, and evolution of front‑line monitoring analytics to detect conduct, operational, and compliance risks across BOS. The role will own end‑to‑end risk monitoring solutions that identify trends, anomalies, and outliers, driving improvements in monitoring coverage, consistency, scalability, and timeliness.
The individual will lead complex analytical solutioning using Python, SQL, and SAS, overseeing data preparation, metric and feature design, anomaly detection frameworks, and visualization outputs.
The role will provide technical leadership across multiple monitoring initiatives, ensure analytical rigor, and guide effective escalation and risk insights.
The role will play a key leadership position in BOS analytics modernization, including SAS‑to‑Python migration, adoption of GCP‑based analytics environments, and automation of monitoring workflows. In addition to hands‑on contribution where needed, the role will set analytics standards, drive documentation and reusability, review peer work, and mentor junior consultants. Exposure to agentic AI, LLM‑enabled analytics, and advanced modeling approaches is strongly preferred.
Is critical to delivering BOS Front Line Monitoring’s 2026 mandate to drive Risk Clarity and Operational Excellence through AI‑powered analytics modernization.
BOS has explicitly committed to transforming monitoring from rule‑centric, fragmented alerting to AI‑driven, behavioral, and trend‑based solutions, with Python, cloud (GCP), and agentic AI as the default operating model.
This role provides the senior technical ownership required to design and scale end‑to‑end monitoring solutions, lead SAS‑to‑Python migration, automate workflows, and ensure analytics remain explainable, defensible, and audit‑ready as complexity and volume increase.
The role also enables leverage of existing talent by setting standards, mentoring junior consultants, and operationalizing AI and agentic capabilities that BOS has identified as foundational—not optional—to how Front-Line Monitoring operates day to day.
Posting End Date:
30 Jan 2027*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.
c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.
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Taguig City, 00
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