Quantitative Analytics

2 months ago

Bengaluru, India WELLS FARGO BANK Full time

**Job Description - Analytics & Infrastructure engineering Quant**

**About Wells Fargo**

Wells Fargo & Company (NYSE: WFC) is a leading global financial services company headquartered in San Francisco (United States). Wells Fargo has offices in over 30 countries and territories. Our business outside of the U.S. mostly focuses on providing banking services for large corporate, government and financial institution clients. We have worldwide expertise and services to help our customers improve earnings, manage risk, and develop opportunities in the global marketplace. Our global reach offers many opportunities for you to develop a career with Wells Fargo. Join our diverse and inclusive team where you will feel valued and inspired to contribute your unique skills and experience. We are looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

**About I & P**
Wells Fargo India enables global talent capabilities for Wells Fargo Bank NA., by supporting business lines and staff functions across Technology, Operations, Risk, Audit, Process Excellence, Automation and Product, Analytics, Modeling and Quants. We are operating in Hyderabad, Bengaluru and Chennai locations.

**Department Overview**

**Market and Counterparty Risk Analytics (MCRA) **is responsible for developing models for MCRM's Corporate Market Risk Group, Enterprise Counterparty Risk Management, and Market and Counterparty Capital. MCRA also includes a model governance and quality assurance function, as well as a model management function that manages ongoing modeling activities for the supported business groups.

**About the Role**

This role includes model testing, development of libraries, analytic framework design, data infrastructure construction and maintenance. Liaising with onshore partners, working in collaboration and strong partnership with model developers and various other stakeholders.

**Functional Responsibilities**

Duties include, but are not limited to:

- Model tests, library development, analytic framework design, analytic data infrastructure construction and maintenance, and relevant system implementation
- Working in close partnership with model developers, model users, risk technology and other stakeholders
- Perform highly complex activities related to design, development, implementation and documentation tools & infrastructures for quantitative risk models analytics
- Participate in the discussion related to analytical strategies, modelling methods workflow, analysis and testing procedure and operation process
- Collaborate and consult with model developers, model users, risk technology experts

**Essential qualifications/ Market skill set**
- 3+ years of quantitative analytics programming experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education
- Master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics or computer science
- Programming skills using Python/SQL/Excel/Java/R

**Preferred Skills & Abilities**
- Education/experience in quantitative areas
- Strong analytical skills with high attention to detail and accuracy
- Experience in quantitative computing system and database development is preferred
- Knowledge in financial products and market and/or counterparty risk

**We Value Diversity**

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.

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