Quantitative Analytics Associate - Bengaluru, Karnataka, India - Wells Fargo

Wells Fargo

Verified Company

Bengaluru, Karnataka, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

About this role:

Wells Fargo is seeking a...

In this role, you will:

Participate in complex activities related business analytics
Develop, implement, calibrate, and validate analytical models
Review structured securities, cash flow and credit impacts
Research market and interest rate changes and develop modeling systems to support real time trading, deal structuring and research and investment decisions
Perform statistical and mathematical model in wide arrange of business initiatives
Analyze forecasting methods and focus on the theory behind the data
Analyze processes and workflows to make recommendations for process improvement
Mitigate risk management and provide in depth strategies for model development, validation, and performance analysis
Collaborate and consult with peers, colleagues, managers, and regulators to resolve issues and achieve goals
Provide assistance to the Wells Fargo Quantitative Analytics program

Required Qualifications:

6+ months 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 a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Strong Quantitative Skills with exposure to Predictive modeling experience. Good understanding of model development and model testing process.
Good Problem Solving and Analytical Skills
Basic familiarity with Python, SAS and SQL
Good Written and Oral Communication Skills

Desired Qualifications:

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Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment:

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Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities:

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Exposure to banking domain in Credit Risk area on Retail/Commercial portfolio:

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Ability to research and report on a variety of issues using problem solving skills:

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Ability to interact with integrity and a high level of professionalism with all levels of team members and management

Job Expectations:

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Development of regulatory Credit risk (including CCAR, CECL and IFRS), PPNR and RRP Valuations model for Commercial portfolio:

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Work closely with team to understand and enhance the data and modeling process behind existing models, develop new models, address data and model issues/risk findings
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Underlying portfolio data research and analytics using strong programming skills:

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Adhere to audit and model validation governance to ensure data and modeling process are in compliance with policy and are working as intended, address model validation and regulatory feedback issues:

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Support ad-hoc analytic projects

Posting End Date:

14 May 2024

Job posting may come down early due to volume of applicants.

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.

Applicants with Disabilities

Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.