Senior Analyst

Job Description:

About Us

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Global Business Services

Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations.

Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation.

In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services.

Process Overview

ARQ supports global businesses of the Bank with solutions requiring judgment application, sound business understanding and analytical perspective. The domain experience in the areas of Financial Research & Analysis, Quantitative Modeling, Risk Management and Prospecting Support provide solutions for revenue enhancement, risk mitigation and cost optimization. The division comprising of highly qualified associates operates from three locations i.e. Mumbai, GIFT City, Gurugram, Chennai and Hyderabad.

Job Description:
The Data Science for Technology, Risk and Operations (DSTRO) team performs four key functions within the AI Model Development & Evaluation (AIMDE) space:

AI Model Risk Assessment (AI MRA) – Reviewing AI/ML models to identify and assess risks across areas such as model governance, privacy, compliance, algorithmic bias and fairness, explainability, adversarial vulnerabilities, data management, and regulatory requirements. AI Intracycle Monitoring – Conducting periodic monitoring and assessment of AI models to ensure continued compliance with risk and governance standards. AI Document Review – Performing detailed reviews of AI model documentation, ensuring completeness, quality, and alignment with Model Risk Management (MRM) requirements. Model Development – Supporting development activities for GIS and other Global Risk Analytics (GRA) models, although this constitutes a smaller portion of the role.

The primary focus of this position is on document reviews, AI risk identification, stakeholder engagement, and governance-related activities rather than hands-on model development. The successful candidate will be responsible for reviewing AI risk documentation, identifying AI-related risks across domains such as compliance, privacy, fairness, security, explainability, and adversarial threats, and providing constructive feedback to model development teams.

In addition, the candidate will perform end-to-end reviews of Model Development Documents (MDDs), Ongoing Monitoring Reports (OMRs), and other governance artifacts to ensure they meet quality standards and are fit for submission to Model Risk Management (MRM).

Responsibilities:

• Ability to extract and analyze data, understand business requirements, and translate into design, develop / enhance the codes and models
• Supports the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
• Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
• Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
• Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
• Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
• Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

Requirements:

Education : Master’s degree in related field or equivalent work experience

Experience Range: 5 yrs +

Foundational Skills:

• Strong understanding of Large Language Models (LLMs), Generative AI, and AI/ML concepts.
• Knowledge of AI risk management frameworks, model governance, and responsible AI principles.
• Familiarity with Model Risk Management (MRM) processes and model lifecycle governance.
• Understanding of quantitative modeling techniques, statistical methods, and machine learning concepts.
• Ability to critically assess model design, assumptions, limitations, and risk controls.
• Strong analytical skills to identify emerging risks and anticipate future challenges associated with AI and ML models.
• Excellent written and verbal communication skills, with the ability to provide clear review feedback and interact effectively with stakeholders across business and risk functions.
• Experience reviewing technical documentation and translating complex concepts into actionable risk and governance recommendations.

Desired Skills:

• Research
• Mathematics/Statistics/Economics/Any Quant Field
• Good communication skills

Job Location: Hyderabad, Mumbai

Work timings: 12 pm to 9pm IST