Lead Risk Platform & Analytics Engineer - Python & Cloud (GCP)Wells Fargo • United States
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Lead Risk Platform & Analytics Engineer - Python & Cloud (GCP)
Wells Fargo
- United States
- United States
Über
Wells Fargo is seeking a
Lead Risk Analytics Consultant/GCP Engineer
to support the Model Risk Management (MRM) organization as part of the
Model Computing and Governance Platform team
. This role is
highly technical
and requires strong hands-on experience with
cloud engineering, platform migration, and production-level python coding
to support model validation, governance, and analytics platforms.
The successful candidate will join a high-visibility team responsible for building, maintaining, and enhancing the technology platforms enabling Model Risk Management (MRM) and Model Development Centers of Excellence. This role requires the ability to work directly on
Google Cloud Platform (GCP)
and
OpenShift
,
write or re-write python code
, and
support platform migrations
while ensuring system reliability, data integrity, and operational excellence.
Professional presence, strong communication, and excellent documentation skills are essential for collaborating across MRM, model governance, audit, infrastructure, and engineering partners.
In this role, you will:
Cloud Engineering & Platform Work
Demonstrate working proficiency on distributed systems and cloud platforms (GCP) and data storage solutions.
Participate in
cloud migration initiatives
, including modernizing existing code, performance optimization, and addressing compatibility issues.
Collaborate with GCP and OpenShift infrastructure teams to diagnose and resolve platform-level incidents or resource issues.
Operational & Production Responsibilities
Oversee production processes, including
data reconciliation, pipeline reliability
, and creation of clear, comprehensive documentation.
Maintain and enhance
observability tooling
to ensure platform stability and fast issue detection.
Development & Automation
Build and maintain automation using
Python, R, SQL, Pandas, PySpark
, or similar tools to support model validation and governance workflows.
Demonstrate proficiency with Docker and Kubernetes concerts (e.g., pods, deployments, services, and images)
Support and integrate
EPLX
or similar enterprise platforms into the broader model risk ecosystem.
Collaboration & Leadership
Partner with cross-functional teams across the enterprise to address modeling, production, and operational issues.
Lead or contribute to projects that support common model risk management strategies.
Provide mentorship and guidance to junior team members.
Participate in incident triage, perform diagnostics, contribute to
root-cause analysis
, and implement corrective or preventative solutions.
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:
Strong
hands-on experience with Google Cloud Platform (GCP)
components: Compute, IAM, Storage, Networking, Monitoring - highly preferred
Experience in
AWS or Google Cloud Platform (GCP)
is acceptable. Candidates with strong AWS backgrounds will be supported and trained to ramp up in GCP.
Experience
performing python code remediation
and modernization during cloud migration efforts, including updating dependencies, restructuring pipelines, and containerizing workloads is highly desired.
Demonstrated experience developing
python code
directly within cloud environments (
GCP and OpenShift
), including during platform migrations.
Experience with
Kubernetes and container orchestration
is expected.
Experience with Red Hat OpenShift is a nice to have, and engineers without OpenShift background will be supported in learning it on the job.
Proven ability to work inside containerized platforms (pods, operators, CI/CD pipelines) to modify or rebuild application components and automation scripts.
Ability to directly
troubleshoot and resolve code
level issues that surface during GCP or OpenShift migration, deployment, or workload scaling.
Proven ability to enter cloud environments and write or re write code, especially during platform modernization or migration efforts.
Ability to build, refactor, or optimize code used in production environments and model workflows. Ability to troubleshoot and resolve code level issues arising during cloud deployment, migration, or scaling, including real time diagnostics within GCP or OpenShift consoles.
Experience with deployment pipelines (CI/CD) - GitHub, Jenkins, docker, deploying on OpenShift
Job Expectations:
Ability to travel up to 15% of the time.
This position offers a hybrid work schedule.
Willingness to work onsite at stated location on the job posting.
Job Locations:
401 S Tryon Street, Charlotte, NC
600 S 4th Street, Minneapolis, MN
Las Colinas Bldg B, Irving Campus, IRVING, TX
West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA
D Building,114N Beaumont St -D Bldg., SAINT LOUIS, MO
1150 W Washington, TEMPE, AZ
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$119,000.00 - $206,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs (https://www.wellsfargojobs.com/en/life-at-wells-fargo/benefits) for an overview of the following benefit plans and programs offered to employees.
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
Posting End Date:
3 Apr 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.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo (https://www.wellsfargojobs.com/en/diversity/disability-inclusion/) .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-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.
Req Number:
R-532976
Sprachkenntnisse
- English
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