Manager

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

The role supports the AML Event Processor Strategic Solution focusing on the development, enhancement, implementation, and support of quantitative and technology-driven solutions used to improve financial crime risk management processes. The team leverages large-scale data, advanced analytics, quantitative techniques, and software engineering practices to develop strategic solutions that support business decision-making, operational efficiency, risk management, and regulatory compliance.

The function operates within a highly governed and controlled environment and partners closely with business stakeholders, risk managers, technology teams, model governance, and compliance functions to deliver scalable analytical solutions and production-ready capabilities.

Job Description
The Senior Quantitative Finance Analyst / Software Engineer will be responsible for designing, developing, testing, and supporting quantitative and technology solutions supporting the AML Event Processor Strategic Solution. The role requires a blend of quantitative analytics, software engineering, data engineering, and risk management expertise to develop high-quality solutions that address complex business challenges.

The successful candidate will work with large and complex datasets, develop analytical methodologies, build scalable code and production-ready solutions, perform data analysis and calibration activities, and support end-to-end software development lifecycle (SDLC) processes. The role requires strong communication skills and the ability to effectively explain technical and quantitative concepts to both technical and non-technical audiences.

The individual will collaborate across business, risk, compliance, technology, and model governance teams to ensure solutions meet business requirements, governance expectations, and operational standards while delivering measurable business value.

Responsibilities

Design, develop, test, implement, and maintain quantitative and analytical solutions supporting AML and transaction monitoring initiatives.

• Perform data exploration, analysis, profiling, validation, and calibration activities using structured and unstructured data sources.
• Develop scalable analytical applications and data processing solutions using modern programming languages and big data technologies.
• Translate business requirements into technical and quantitative solutions that support strategic business objectives.
• Build and maintain reusable code, analytical frameworks, and automation capabilities to improve efficiency and consistency.
• Execute software development lifecycle activities, including requirements gathering, development, testing, implementation, deployment, and post-production support.
• Conduct quantitative analysis, research, trend analysis, and performance measurement to identify actionable insights.
• Create technical documentation, methodology documentation, and implementation artifacts supporting governance and audit requirements.
• Partner with stakeholders across business, technology, compliance, and risk organizations to ensure successful project execution.
• Support model and analytical solution development activities, including data preparation, feature engineering, calibration, testing, and monitoring.
• Participate in code reviews, testing activities, defect remediation, and continuous improvement initiatives.
• Ensure solutions comply with internal governance, risk management, data management, and control standards.
• Leverage Copilot and emerging AI-enabled development capabilities to improve productivity, code quality, and delivery efficiency where appropriate.

Requirements:

• Education: Master's Degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline.
• Certification if any
• Experience: 3-7 years of relevant experience in quantitative analytics, software engineering, risk analytics, financial crime analytics, data science, model development, or related disciplines.

Foundational skills*

• Strong critical thinking and analytical problem-solving capabilities.
• Quantitative development experience using statistical and analytical techniques.
• Experience working with large-scale datasets and big data environments.
• Strong understanding of risk analytics and risk modeling concepts.
• Data modeling, data engineering, and data management experience.
• Experience performing data analysis, trend analysis, and performance measurement.
• Strong programming capabilities in Python, Spark, SQL, SAS, R, or comparable technologies.
• Knowledge of software engineering principles and SDLC practices.
• Experience with test engineering, quality assurance, and deployment practices.
• Ability to create clear technical and methodology documentation.
• Experience developing production-ready analytical and technology solutions.
• Strong prioritization, project management, and organizational skills.
• Ability to work effectively within highly controlled and audited environments.
• Experience leveraging Copilot or similar AI-enabled development tools.
• Strong research and quantitative reasoning capabilities.

Desired skills

• Experience in Anti-Money Laundering (AML), Transaction Monitoring, Financial Crimes, or Compliance Analytics.
• Knowledge of model development, model governance, model implementation, and model monitoring practices.
• Experience with distributed computing and cloud-based data platforms.
• Understanding of banking products, customer behavior analytics, and risk management frameworks.
• Experience building scalable analytical platforms and strategic technology solutions.
• Ability to effectively communicate quantitative findings to executive, technical, and non-technical audiences.
• Strong presentation and storytelling skills using data and analytical insights.
• Demonstrated ability to influence stakeholders and drive outcomes in large, complex organizations.
• Self-starter with the ability to work independently while collaborating effectively across cross-functional teams.
• Experience supporting regulatory, audit, governance, and control requirements within financial services organizations.

Work Timings*: 1230-2130

Job Location*: Hyderbad