Senior Quantitative Analytics Specialist
Wells Fargo · Hyderabad · onsite · Posted 47d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
About this role:
Wells Fargo is seeking a Senior Quantitative Analytics Specialist to work as a NLP/GenAI model validator with Model Risk Management Group. MRM operates in a fast-paced work environment with continuously changing policies and technologies. The successful candidate is expected to be self-motivated, require minimal supervision, and produce work that is consistent with MRM's recognized high standards. Effective work will involve familiarity with source systems of record, analytical data and sampling plans, model replications, model performance assessments, and test model development as effective challenges to lines of business. It further requires strength in writing detailed standard analytical reports to ensure Wells Fargo's compliance with governance policies and regulations. Each validation report will include assessments of the specific business, model purpose and history, the model methodology, data integrity, model development, performance, implementation, and monitoring. These documents are read by a broad audience, including auditors and regulators.
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:
- 4+ years of experience with Masters Degree or equivalent in computer science, electrical engineering, data science, or another discipline with a strong quantitative core and extensive exposure to software engineering or scientific computing
- Hands-on experience and deep knowledge in at least one of these areas: NLP and GenAI and/or Agentic models, with an exposure to model risk management policies and procedures preferably in financial domain.
- Change management skills and proven ability to conceptualize and communicate designs and plans;
- Knowledge of recent frameworks for Machine Learning, GenAI and Agentic pipelines.
- Hands-on experience with LangGraph, LangChain, Google ADK, Agentic Performance evaluation pipelines like Arize a plus.
- Deep understanding of data modeling and relational databases.Advanced SQL, including analytical functions and recent additions to the SQL standard;
- Skill in managing relationships with key model stakeholders
- Eagerness to contribute collaboratively on projects and discussions
- Perpetual interest in learning something new, but being comfortable with not knowing the all the answers
- Intellectually curious, with an attention to detail.
- Good verbal and written communication skills as well as interpersonal skills;
- Ability to prioritize work, meet deadlines, achieve goals, and work in a dynamic and complex environment; and
- Ability to develop partnerships and collaborate with other business and functional areas.
Job expectations
- Work at the intersection of technologies related to Data Science AI/ML, Natural Language Processing and Generative AI including Agents and Skills. The role requires strong statistical background and expertise in Quantitative Modeling.The responsibilities include, but are not limited to, the following:
- Managing model risk throughout the model lifecycle from model identification to model retirement through various tasks including risk ranking, model validation, change management and performance monitoring etc.
- Delivering high quality technical reports ensuring factual accuracy, conceptual alignment, critical assessment and compliance to all policies and procedures.
- Helping to develop and evaluate the architecture and foundational components of internal validation tools, developing fully operational prototypes, and deploying them in partnership with our Technology partners.
- Providing guidance to the broader MRM community on best model risk management practices by leading or contributing to efficiency, effectiveness and automation efforts.
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Skills
Automationadvanced sqlNatural Language Processingquantitative analyticsChange ManagementAnalyticselectrical engineeringSQLRisk ManagementArchitecturecomplianceData ModelingData ScienceArtificial IntelligenceMachine LearningForecasting
About Wells Fargo
Wells Fargo
Financial Services
20k+
employees
1852
174 years old
Bengaluru/Bangalore, Karnataka
India
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Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.
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