HYDERABAD · FULLTIME
Quantitative Analytics Manager
Wells Fargo
Hyderabad · onsite · Posted 57d ago
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Undisclosed5–10 yrsfulltimeHyderabad
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Section · 01
About this role
Job Summary
Wells Fargo is seeking a Quantitative Analytics Manager. The role is a hands-on Manager for oversight of development of Foundation models as well as Gen AI and Agentic applications supporting the bank across various lines of business.
Model, Methodology and Research (MMR) Team MMR is a specialized team which supports high priority research and development activities across Front line and second line teams within the bank. Team supports various strategic initiatives including development of Gen AI applications, in-house Large Language models, research for cutting-edge development in the industry, and Agentic development. Team also publish research papers in the top-tier conferences such as NeurIPS or ICLR.
In this role, you will: - Manage a team responsible for the creation and implementation of low to moderate complex financial areas
- Mitigate operational risk and compute capital requirements
- Determine scope and prioritization of work in consultation with experienced management
- Participate in the development of strategy, policies, procedures, and organizational controls with model users, developers, validators, and technology
- Make decisions and resolve issues regarding operational risks and enable decision making in business, product, marketing, or other functional areas
- Manage a team comprised of quantitative analysts and credit risk analysts
- Interact with internal and external audit or regulators
- Manage allocation of people and financial resources for Quantitative Analytics
- Mentor and guide talent development of direct reports and assist in hiring talent
- 5+ years of Quantitative Analytical experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 2+ years of leadership experience
- Master''s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, or computer science
- Masters or PhD in Computer Science, Machine Learning, Artificial Intelligence,Engineeringor related quantitative field
- 5+ years of experience in AI/ML model development
- 2+ years of experience building Foundation Models, Gen AI and Agentic AI applications
- Strong quantitative and analytical skills, with the ability to apply data analysis, modeling, visualization, statistics, research, and generative AI to generate insights, adapt quickly, and support innovative solutions.
- Ability to execute with urgency, apply data and software engineering skills to design, develop, and deliver scalable solutions, and drive operational excellence with strong data management and an enterprise mindset.
- Strong communication skills, with the ability to foster an inclusive environment and actively seek, apply, and respond to feedback in collaborative analytical settings.
- Strong business acumen with a commitment to providing excellent service and supporting data-informed business outcomes.
- Ability to act with integrity, support risk assessments, and apply risk controls to help manage risk in a disciplined, data-driven environment.
Foundation Model Training
- Experience with pre-training, supervised fine-tuning (SFT) and post-training methodologies including RLHF, RLAIF, PPO, DPO, and GRPO
- Training and deploying models in cloud environments, including GCP
Agentic AI
- Multi-agent architectures and orchestration frameworks likeLangChain,LangGraph, LangChain, LlamaIndex, Google''s ADK,CrewAI
- Retrieval-Augmented Generation (RAG) applications and intelligent agent deployment
AI Infrastructure Optimization
- Distributed GPU training
- Efficient model tuning approaches such asLoRAand PEFT
You will be hands-on working and delivering high-impact projects involving foundation models, large language models, multi-agent workflows, retrieval-augmented generation, human-in-the-loop AI, model evaluation, automation, and responsible AI deployment at enterprise scale. In addition, you will also lead a team workingon building Agentic and Gen AI applications.
- Design, pre-train, fine-tune, and evaluate transformer-based, foundation, and small language models (SLMs).
- Develop and deploy AI and machine learning solutions across generative AI, agentic systems, and traditional machine learning applications
- Design and build LLM-powered agents and multi-agent systems capable of planning, reasoning, task orchestration, and human-in-the-loop collaboration
- Monitor production models and AI systems, evaluating performance, stability, and model drift through testing and analytics frameworks
- Collaborate with cross-functional teams, technical experts, and business leaders across the organization
- Gain exposure to enterprise-scale AI development, governance, and risk management practices
- Apply AI, machine learning, and generative AI techniques to solve complex business problems.
- Build andoptimizescalable model training and deployment pipelines.
- Leverage distributed computing and advanced training techniques to improve model performance and efficiency.
- Enhance model performance through distillation, quantization, and pruning.
- Optimizeinference speed, latency, throughout, and cost forproductionAI systems.
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Section · 02
Skills
AutomationAI infrastructureanalytical thinkingai developmentCrewaiAi DeploymentAnalyticscloudcredit riskCommunication SkillsData Managementdata analysiscomplianceCustomer RelationshipsArtificial Intelligence
Section · Company
About Wells Fargo
Wells Fargo
Financial Services
20k+
employees
1852
174 years old
Bengaluru/Bangalore, Karnataka
India
About
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.
Industries
Financial Services
Employee ratings
8,681 reviews
3.6/ 5
Culture
3.5
Career growth
2.9
Work-life
3.8
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