About this role:
Wells Fargo is seeking a Senior Quantitative Analytics Specialist.
In this role, you will:
- Perform highly complex activities related to creation, implementation, and documentation
- Use highly complex statistical theory to quantify, analyze and manage markets
- Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
- Utilize structured securities and provide expertise on theory and mathematics behind the data
- Manage market, credit, and operational risks to forecast losses and compute capital requirements
- Participate in the discussion related to analytical strategies, modeling and forecasting methods
- Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
- Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills
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- 4+ 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 a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- Experience in Quantitative Analytics
- Must have hands on experience in Python, PySpark, SQL etc. Exposure to Google Cloud Platform (Vertex AI, Big Query, GCS) or equivalent in AWS, Azure etc.
- The Consumer Model Development Centre, within CDAI organization, is looking for an established and proven senior quantitative analytics specialist to join our team and help us solve challenging and interesting business problems through data exploration, advanced analytics and visualization.
- In this highly valued role, you will work on different areas like causal inference, cross LOB models and/or gen AI within the Center of Excellence (COEs) with varied competencies, including Modeling, Monitoring, Deployment, and Analytic Quality Review.
- Required to work individually or as part of a team on multiple data science projects and work closely with business partners across the organization.
- Provide analytical support for developing, evaluating, implementing, monitoring and executing models across business verticals.
- Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions.
- Review and validate models and help improve the performance of the model under the preview of the banking regulations.
- Work closely with technology teams to deploy the models to production.
- Prepare detailed documentations for projects for both internal and external that complies regulatory and internal audit requirements
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- Hands-on experience in data science and advanced analytics.
- Demonstrated expertise in Generative AI, including large language models, Generative AI frameworks, and advanced NLP techniques which includes leading GenAI projects from conception to production
- Expert knowledge on working on large datasets and present conclusions to key stakeholders.
- Excellent verbal, written, and interpersonal communication skills
- Expertise in Prioritizing and Manage Projects effectively
- Experience in building quick prototypes to check feasibility and value to business
- Ability to deep dive and find root cause of the problems followed by developing solutions.
Shift timings: Flexible to work - 10.30 AM - 4.30 PM & 7.00 PM -10 PM IST.
Posting End Date:
*Job posting may come down early due to volume of applicants.
We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
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 US: 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.
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.