Quantitative Analytics Specialist
Wells Fargo
- Location
- Bengaluru South, Karnataka, India
- Job type
- Full-time
Required skills
- Python
- business analysis
- C++
- data science
- SAS
- SQL
- statistics
About the role
Wells Fargo
Website:
wellsfargo.com
Job details:
About This Role
Wells Fargo is seeking a Quantitative Analytics Specialist
In This Role, You Will
- Develop, implement, and calibrate various analytical models
- Perform highly complex activities related to financial products, business analysis and modeling
- Perform basic statistical and mathematical models using Python, R, SAS, C++ and SQL
- Perform analytical support and provide insights regarding a wide array of business initiatives
- Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management
- Collaborate and consult with peers, colleagues, managers, and regulators to resolve issues and achieve goals
Required Qualifications
- 2+ 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 statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
Desired Qualifications
- Establish and execute model monitoring programs for production models in alignment with corporate Model Risk Management (MRM) policy and standards.
- Implement monitoring solutions by developing scripts and automating end‑to‑end monitoring processes to produce approved primary KPIs and supplementary KPIs, in accordance with approved Model Monitoring Programme (MMP) documentation.
- Own monitoring of predictive and GenAI models across fraud and enterprise use cases, including data health, performance, stability, and risk metrics.
- Act as an SME for model monitoring setups and drive efficiency through AI & automations
- Proactively identify anomalies, data gaps, and model drift, driving root‑cause analysis and remediation.
- Partner closely with Data Science, Risk, and Engineering to automate monitoring, improve resilience, and reduce manual effort.
- Perform basic statistical and mathematical models using Python, PySpark and SQL
- A good implementation knowledge of AI/GenAI as used within bank will be useful to drive process efficiency
Job Expectations
- In Office expectations as per company guidelines
- Demonstrate strong ownership mindset for assigned models and monitoring scope
- Expected to operate with minimal supervision, balancing multiple priorities while maintaining high standards of quality, documentation, and stakeholder trust.
- Follow enterprise policies around data usage, access, confidentiality, and controls
Reference Number
R-524972
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