Senior Data Scientist at Wells Fargo

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, Generative AI, Predictive Modeling, Deep Learning, NLP, Statistical Theory, Risk Management, Prompt Engineering, LangChain, Hugging Face, Spark, SAS, R, Data Mining

Industry

Financial Services

Description

About this role: Wells Fargo is seeking a Senior Quantitative Analytics Specialist Sr. Quantitative Analytics Specialist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics. AI Innovation & Modeling is the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo’s analytic community. We are looking for a high performer to join our team and help us solve challenging and interesting business problems through rigorous data analysis and predictive modeling. In this highly consultative and visible role, you will support development analytic projects from multiple business lines using various technology and techniques ranging from but not limited to supervised, unsupervised and semi-supervised machine learning, deep-learning, NLP, Gen AI, optimization algorithms in both edge nodes and in big data environments (like hortonworks, MapR, Aster etc.) 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 Required Qualifications: 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 Desired Qualifications: Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization. He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc. Design, develop, and fine-tune Generative AI models for various banking applications. Engineer effective prompts to optimize model performance and output relevance. Conduct comprehensive evaluations of Gen AI models and agentic systems to ensure accuracy, reliability, and ethical compliance. Collaborate with cross-functional teams to integrate Gen AI capabilities into existing analytics workflows. Develop frameworks for continuous monitoring and improvement of Gen AI models BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis Experience with supervise unsupervised & semi supervise learning models Experience with Deep-learning, Artificial intelligence techniques - NLP, Text mining, Image/Voice processing, digital analytics Experience with Gen AI frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers. Expertise in prompt engineering techniques for large language models. Hands-on experience with Gen AI model evaluation metrics and benchmarking tools. Knowledge of agentic workflows and autonomous AI systems. Familiarity with model interpretability and responsible AI practices in Gen AI. Strong proficiency in python Job Expectations: Data mining and Insights Trend Analysis, forecasting and pattern recognition Find opportunities in the data and able to communicate to the partners Consult with partners to define issues/information needs Present findings to multiple levels of management Ensure that analyses are delivered on time, while surpassing partner expectations Ensure partner transparency throughout the life of the project Proactively seek opportunities to increase the value of analysis Strong oral and written communication and consultative skills Posting End Date: 7 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. 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. Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 34 on Fortune’s 2024 rankings of America’s largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health, and a low-carbon economy. News, insights, and perspectives from Wells Fargo are also available at Wells Fargo Stories. Additional information may be found at www.wellsfargo.com LinkedIn: https://www.linkedin.com/company/wellsfargo For questions on how to search and apply, visit our frequently asked questions.

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Responsibilities

The Senior Data Scientist will deliver high-impact analytical projects by developing predictive models and Generative AI solutions to solve complex business challenges. They will collaborate with cross-functional teams to manage market and credit risks while providing actionable insights to management.