דרושים Software Engineer Iii - Gbs ב-Bank Of America ב-India, Hyderabad

Process Overview:

AML KYC process deals with performing the onboarding of institutional clients that includes Global Banking and Global markets. It involves performing the KYC Process and enhanced client due diligence leveraging the product called as AWARE (Anti Money Laundering Workflows and Rules Engine). The process involves identifying an activity pertaining to Anti Money Laundering. The process includes 4 phases, Onboarding, Due diligence, Refresh and Offboarding. It interacts with various downstream systems which act as the actual system of record, retrieves, aggregates, runs the rules, flag for either Green, Red or Amber

Responsibilities:

• Database Engineering & Optimization
  • Design, develop, and optimize complex PL/SQL procedures, packages, and triggers to support critical banking applications.
  • Perform SQL and database performance tuning for transaction-heavy systems.
  • Ensure data integrity, scalability, and high availability across enterprise banking databases.
• Automation & Scripting
  • Develop robust Unix shell scripts to automate data feeds, file movements, job scheduling, and system monitoring.
  • Create Python-based automation utilities for process optimization, data validation, and reporting workflows.
  • Integrate multiple systems (Oracle, flat files, APIs) for seamless data processing in batch and real-time modes.
• Data Integration & Reporting
  • Collaborate with BI and reporting teams to design ETL pipelines using SSIS/SSRS and support Tableau dashboards.
  • Work closely with compliance and risk teams to automate AML/KYC data workflows, transaction monitoring reports, and exception handling.
• Banking Systems Support
  • Troubleshoot and resolve database or data integration issues affecting core banking and financial systems.
  • Support audits, compliance reviews, and regulatory data submissions.
  • Maintain documentation for processes, data flows, and technical specifications.
• Collaboration & Leadership
  • Partner with cross-functional teams—business analysts, risk, compliance, and IT—to deliver end-to-end solutions.
  • Mentor junior developers and promote best practices in database and scripting standards.

• Gen AI & Prompt Engineering/Co Pilot
  • It is good to have an experience in Gen AI/Prompt Engineering
  • Ability to seamlessly leverage GITHUB Co Pilot
  • Nice to have fundamentals of ML

Requirements:

Education:B.E./B.Tech/M.Tech/M.C.A.

Certifications (if any):NA

08-10+ years

Foundational Skills:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related discipline.
• 12+ years of hands-on experience in banking or financial services technology.
• Strong expertise in Oracle, SQL, and PL/SQL development with proven performance tuning experience.
• Proficiency in Unix/Linux shell scripting for automation and job orchestration.
• Advanced Python programming experience for data manipulation, API integration, and automation.
• Exposure to ETL tools (SSIS/SSRS) and data visualization (Tableau).
• Deep understanding of data structures, normalization, and query optimization techniques.
• Gen AI & Prompt Engineering/Co Pilot
• Excellent problem-solving and analytical skills.
• Ability to Lead the team Technically, Code Review/Design reviews and groom/mentor folks
• Strong interpersonal and communication skills; proven ability to work collaboratively in diverse teams.
• Exposure to cloud data platforms (AWS RDS/Redshift, Azure SQL, Snowflake) is a plus.
• Excellent analytical, problem-solving, and leadership skills.

Desired Skills:

• Gen AI/Co Pilot, Fundamentals of Machine Learning

: 11.30 AM – 8.30 PM

Job Description*

This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

Responsibilities*

• Primary responsibility is to develop advanced machine learning models.

• Assemble large, complex data sets and automate the data validation and ETL process.

• Ability to query & analyze the data required for ad hoc requirements on the fly and generate reports for the team to use.

• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

• Combine structured and unstructured datasets to derive insights.

• Closely work with data scientists to create time series datasets for modeling.

Requirements*

B.E. / B.Tech. / MCA

Certifications (if any): NA

Experience Range*

12+ Years

Foundational Skills*

• Proven experience in developing and implementing machine learning models (both supervised and unsupervised learning)

• Expert in AI / Machine learning concepts and ability to implement such strategies.

• Deep expertise in manipulating and processing datasets from multiple disconnected data sources.

• Good experience in Data Analytics and interpretation of large volumes of Data

• Advanced knowledge and expertise with data modeling.

• Scripting Programming experience with any language like Oracle/SQL, Python, R, Tableau

Desired Skills*

• Advanced knowledge in SQL and using tools like TOAD.

• Has good data transformation / formatting experience and be able to work with data in different formats.

• Good logical thinking capabilities with a technical mind-set

• Team player attitude, enthusiasm, and commitment

• Ability to prioritize, use own initiative, make quick decisions, be flexible and work independently.

• Ability to work remotely, with teams spread globally, under pressure, meet deadlines and navigate change.

• Ability to work and interact with people from a diverse range of backgrounds and opinions.

• Experience in Wealth Management business process is an advantage.

Work Timings*

• 11:30 AM to 8:30 PM

Process Overview

The COO team, part of GMO, NTCR, CFO Ops is responsible for the following:

• Build strategic and operational insights to ensure consistent delivery and improvement.
• Work closely with Opex team to driver and deliver on process excellence and transformation, including digital enablement across the GDL span to deliver on agreed efficiency targets/ reducing cost.
• Represent the function in multiple governance forums and GBS horizontal initiatives.
• Working with operations teams to strengthen the control environment and improve control processes.
• Managing budgets, FTE forecasting and billing.
• Ensuring the governance routines are adhered by the Ops team and are met in the required timelines.
• Analyzing the data and share the required report with the Ops team.
• Developing strategies for business requirements and executing the same.
• Representing the business deliverables to the senior leadership

Responsibilities:

• Automation Strategy & Execution: Design, develop, and implement end-to-end automation solutions for data acquisition, transformation, and reporting, significantly reducing manual effort and processing time.
• Change management: Drive integration, synergies and best practices as one GMO, NTCR, CFO organization.
• Horizontal Initiatives : Driver cross-functional collaboration and strategic alignment across various team to deliver on functional and enterprise-wide outcomes
• Process Improvement: Proactively identify bottlenecks and inefficiencies in current operational and reporting processes and recommend and implement automated solutions
• Budgeting & Analysis:GMO, NTCR, CFO budgets, forecasts, travel expense, expense management, MIS, dashboards, periodic tracking of variance and course corrections etc., R&R budget allocation, utilization etc..
• Migrations and new transitions: Work closely with transition and operations team around approval, workforce distribution, risk mitigation, Adhoc business requirements etc.
• Governance : Establish and run multi-tired governance meetings to ensure accountability, timely delivery , and strategic oversight across varied stakeholders and SLT.
• Stakeholder Communication: Present complex technical findings and data insights clearly and concisely to non-technical audiences using exceptional presentation skills

Requirements

Education*:B.TECH/C.A/MBA

Certifications if any : NA

Experience Range*:12-15 years

Foundational skills:

• Demonstrate analytical skills –to critically evaluate the information gathered from multiple sources, reconcile variances and present complex data in a coherent manner
• Be competent with MS Office products: Word, Excel, PPT, Alteryx, Tableau, Power BI
• Executive pitch creation
• Good Presentation skills, able to summarize messages
• Strong analytical reasoning & Data interpretation
• Have strong organization skills –ability to switch between tasks and to prioritize work effectively
• Have strong communications skills –both verbal and written as incumbent will be required to communicate with various levels of employees
• Have an aptitude to learn quickly under pressure and be self-motivated
• Ability to cope with delivery within very tight deadlines under high pressure

Desired skills:

• Should be self-driven, have the ability to handle pressure and deliver under stringent timelines. Should have high energy levels and confidence.
• Self-starter and team player with a strong work ethic willing to work in a challenging environment
• Translates strategies into plans that can be effectively executed
• Anticipates risks and obstacles and devises plans to manage them
• Pursues aggressive goals and continuously raises performance expectations to achieve excellence
• Promotes continuous learning and development
• Makes tough decisions when they are needed and acts quickly in getting things done
• Organizes and runs effective meetings and workshops
• Communicates clearly and concisely, verbally and in writing, at all levels within the organization

12:30 PM . till 09:30 PM

Hyderabad/ Chennai

Responsibilities*

• 9-12 years of experience in financial services, preferably with exposure to risk management, trading, or other key functions in the banking transaction lifecycle
• Good verbal communication, presentation skills
• Ability to handle pressure/conflict.
• Hands on experience while working on complex, multi-tier enterprise applications .
• Hands on programming experience using Core Java 11 concepts, Spring Boot, Rester, Angular, Spark, Hadoop, Hive, etc.
• Strong knowledge of SQL using Exadata or another database. Experience with Hadoop is a plus.
• Team player, Self-motivated and self-managed.
• Experienced team leader, capable of leading a mid-sized team and be responsible for end-to-end project delivery.
• Proven ability to operate within the global environment operating from multiple locations and time zones
• Planning, time management and resource management skills
• Proven experience in identifying and managing the risks, issues and dependencies related to large, complex programs

Education*

• Education: B.E. in Computer Science / Electronics or Masters

Certifications If Any*

• Java 11 Certification is good to have.

Experience Range*

• 9 to 12 years

Foundational skills*

• Proven expertise on using Core Java 11 concepts, Spring Boot, Rester with ability to rapidly learn other Java/J2EE technologies.
• Demonstrated hands on experience in enterprise Spark, Hadoop and Oracle.
• Critical thinking and Problem solving
• Ability to translate business requirements into technical solutions based on sound design principles.
• Self-driven and well-motivated
• Prior experience of working with Global Technology teams
• Good Analytical, Debugging and design skills.
• Basic SQL Knowledge.
• Clear, Concise Communication skills, ability to articulate Problem/Solution

Desired skills*

· Experience working in an Agile environment

· Work Experience in Banking Domain

Responsibilities:

• Lead the implementation of Finacle Payments Engine (FPE) platform, including successful integration of the platform with bank systems.
• Leverage domain and technical expertise to set direction and drive project execution. Foresee and proactively address risks, issues, and dependencies.
• Work with business, operations, internal technology teams, and with vendor partners to ensure successful project delivery.
• Act as the primary liaison between the vendor and internal technology teams.
• Manage stakeholder expectations with respect to scope, deliverables, and timelines.
• Coordinate and facilitate routines to support delivery – e.g. kick-offs, status reviews, stakeholder meetings, change controls, tollgates, etc.
• Ensure execution and delivery meets stakeholder expectations in terms of the functionality, quality, timeline, and cost.
• Ensure Enterprise Change Management and other policy requirements for technology solutions are met for the epics/features delivered.
• Measure delivery, maturity, and performance and review the metrics to identify improvement opportunities. Partner with multiple, cross-functional stakeholders across GPS, GT&O and other teams to drive development of execution plans to enable realization of GPE strategies. Execution plans outline multi-year strategic outcomes (based on target state) and the activities required to support achievement of those outcomes.
• Summarize, create presentations, and present initiative-specific, compelling, executive-ready presentations conveying the strategy, business case, and recommendations to Senior and Executive Leadership across product, operations, technology, and compliance.
• Contributes to the technology strategy for Finacle Payments Engine (FPE) platform.
• Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.
• People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance.
• Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.
• Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.
• Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team-work.

Requirements:

Bachelor’s degree or equivalent in Computer Science, CIS, MIS, Engineering (any), or related with experience in developing applications in the banking or finance industry

Foundational Skills:

• Senior Leader, passionate towards strategy, team building, application integration, corporate payments, technology architecture, resiliency, reporting and collaboration.
• Minimum 08 years of technology delivery experience, with proven ability to manage delivery of complex, integration projects in a matrix organization.
• Finacle core banking implementation and integration experience in a global bank setup.
• Sound knowledge of the Finacle Data Model and the Finacle core banking platform version 11.x.
• Must have played a significant role in implementation of at least 5 or more Finacle implementations in ASIA / EMEA region.
• Strong technology delivery capability and leadership from solution design, E2E program/project delivery to problem solving.
• Hands on delivery experience working with Agile teams and in implementing Scaled Agile/Scrum/Kanban/DevOps practices.
• Experience working with product and service vendors, and with the onshore-offshore delivery model.
• Execution and result oriented. Strong aptitude for critical thinking, problem solving, and decision-making.
• Knowledge of the Payments domain and experience in applying this knowledge to drive operational experience and process improvement is a plus.
• Expertise in executive communications and stakeholder relationship management. Capable of articulating the project status and gaining alignment with stakeholders

Desired Skills:

• Structured Thinking : Being able to understand business processes, identify problems, and take a logical approach on how we could drive improvement.
• Inclusive and Inspiring: Seeking a motivated team player who values collaboration, celebrating shared success and who actively seek and appreciate diverse thoughts and backgrounds.
• Authentic and Passionate: Seeking a highly engaged teammate whose intensity and intentions align and are enthusiastic about the work we are doing for our clients and in our communities.
• Innovative and Curious: Seeking a teammate with out-of-the box ideas and solutions, who embraces change with a future-forward mindset, and are looking to challenge the status quo.
• Intellectual Curiosity : Ability to take on complex business problems and learn about new approaches that can drive value to the organization.
• Confident and Agile: Seeking a very strong communicator who values giving and receiving feedback, easily builds relationships, and who is a quick thinker, flexible, and always learning and sharing knowledge
• Tenacity: Proactive and resilient in pursuing objectives despite challenges, ability to multitask and balance competing priorities
• Analytical: Strong analytical skills sufficient to identify trends/opportunities within financial/market data and to locate/interpret competitive information.
• High EQ: Collaborative team-player with high emotional intelligence. Strong influencing skills, coaches and mentors’ others, potential for executive leadership
• Communication Skills : Proven ability to communicate complex topics and translate between business and IT stakeholders, Strong problem-solving skills, including situation analysis, problem identification, and solution recommendation strategies.
• Growth Mindset - demonstrates curiosity. Welcomes failure as a learning opportunity.

: 10:30am to 07:30pm

Process Overview*

Data Management Technology and Enterprise Architecture (DMTEA) - DQCE GT GO GSEP group is responsible for ensuring technology provides accurate, timely, and complete Global Technology data; governs common DQCE processes. GT Data Modelling under DQCE portfolio is responsible for Global Technology (GT) Logical Data Architecture and Model Governance, identifying and compiling use cases that reflect GT data needs, simplifying GT data sourcing strategies, managing the GT Conceptual and Logical Data Models, including alignment to data families and domains, and GT ADS and Platform product management.

Job Description*

This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business Products and Services. Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements. Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap.

Specifically, this role will be responsible for producing and maintaining conceptual, logical, and physical data models, and physical data architecture of operational data stores, data warehouses and data marts. Participate in design, development, and implementation of architectural deliverables, to include components of the assessment and optimization of system design and review of user requirements.

Responsibilities*

• Collaborate with Stakeholders: Work closely with business representatives, data architects, analysts, and development teams to gather, analyze, and translate business requirements into data models.
• Design Data Models: Create conceptual, logical, and physical data models that define the structure, relationships, and rules within databases (including relational, dimensional, and NoSQL databases).
• Maintain and Optimize Models: Develop, update, and maintain data models, schemas, data dictionaries, and documentation to reflect current and future business needs.
• Ensure Data Integrity and Quality: Implement best practices for data governance, data quality, and metadata management to ensure consistency, accuracy, and security of data.
• Performance Optimization: Troubleshoot, optimize, and tune database performance, including query optimization, indexing strategies, and data integration processes.
• Data Integration and Migration: Assist in data migration projects, integration of new systems, and the implementation of data warehousing and business intelligence solutions.
• Develop Standards: Define and enforce data modeling standards, naming conventions, and coding practices to maintain consistency across the organization.
• Evaluate and Improve Systems: Review existing data systems for variances, discrepancies, and inefficiencies; propose and implement improvements.
• Reverse Engineering: Extract and document data models from existing legacy systems when necessary.
• Support Data Governance: Contribute to data governance initiatives and collaborate with IT leadership on enterprise data strategy
• Minimum of 6-8 years in Data Modeling, Data Warehousing, Dimensional and Relational Modeling, Semantic Modeling and Metadata Management
• Minimum of 6-8 years in Data Modeling, Data Warehousing, Dimensional and Relational Modeling, Semantic Modeling and Metadata Management
• Works across the business, operations and technology to create the solution intent and architectural vision for complex solutions and prioritize functional and non-functional requirements into a technology backlog to enable the technology roadmap and functionality to support evolving capabilities and services Contributes to the creation of the architecture roadmap of defined domains (Business, Application, Data, and Technology) in support of the product roadmap and the development of best practices including standardized templates
• Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments
• Facilitates solution driven discussions, leads the design of complex architectures, and finds creative solutions through knowledge of domain, practical experiments, and proof of concepts while ensuring architecture is flexible, modular, and adaptable
• Ability to educate and present on data management standards, data model practices, standardization strategies, and best practices to create innovative solutions
• Supports the team as needed to select the technology stack required for solutions and helps select preferred technology products.
• Performs design and code reviews to ensure all non-functional requirements are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)
• Extensive Experience with Sybase PowerDesigner or Erwin
• Experience in database development, design, and best practices

Education*

• Graduation / Post Graduation
• Certifications If Any:

Experience Range*

• 10-15 Years

Foundational Skills*

• Data Modeling
• Regulatory Compliance
• Solution Design

Desired Skills*

• Certifications in Financial domain

Work Timings*

• 11:30 AM to 08:30 PM IST

Job Location*

• Chennai, Hyderabad

Job Description*

We're seeking a highly skilledto architect and build a modern, scalable, and secure Data Science and Analytical Platform. This pivotal role will drive, establish robust, and create the foundational infrastructure for developing, deploying, and managing Machine Learning models across both.

Responsibilities*

• Lead the architecture and design for building scalable, resilient, and secure distributed applications ensuring compliance with organizational technology guidelines, security standards, and industry best practices like 12-factor principles and well-architected framework guidelines.
• Actively contribute to hands-on coding, building core components, APIs and microservices while ensuring high code quality, maintainability, and performance.
• Ensure adherence to engineering excellence standards and compliance with key organizational metrics such as code quality, test coverage and defect rates.
• Integrate secure development practices, including data encryption, secure authentication, and vulnerability management into the application lifecycle.
• Work on adopting and aligning development practices with CI/CD best practices to enable efficient build and deployment of the application on the target platforms like VMs and/or Container orchestration platforms like Kubernetes, OpenShift etc.
• Collaborate with stakeholders to align technical solutions business requirements, driving informed decision-making and effective communication across teams.
• Mentor team members, advocate best practices, and promote a culture if continuous improvement and innovation in engineering processes.
• Develop efficient utilities, automation frameworks, data science platforms that can be utilized across multiple Data Science teams.
• Propose/Build variety of efficient Data pipelines to support the ML Model building & deployment.
• Propose/Build automated deployment pipelines to enable self-help continuous deployment process for the Data Science teams.
• Analyze, understand, execute and resolve the issues in user scripts / model / code.
• Perform release and upgrade activities as required.
• Well versed in the open-source technology and aware of emerging 3rd party technology & tools in AI-ML space.
• Ability to fire fight, propose fix, guide the team towards day-to-day issues in production.
• Ability to train partner Data Science teams on frameworks and platform.
• Flexible with time and shift to support the project requirements. It doesn’t include any night shift.
• This position doesn’t include any L1 or L2 (first line of support) responsibility.

Education*

• Graduation / Post Graduation: BE/B.Tech/MCA/MTech
• Certifications If Any:FullStack Bigdata

Experience Range*

• 9+ Years

Foundational Skills*

• Experience in Gen AI, LangGraph, LLM Models.
• Microservices & API Development: Strong proficiency in Python, building performant microservices and REST APIs using frameworks like FastAPI and Flask .
• API Gateway & Security: Hands-on experience with API gateway technologies like Apache APISIX (or similar, e.g., Kong, Envoy) for managing and securing API traffic, including JWT/OAuth2 based authentication .
• Observability & Monitoring: Proven ability to monitor, log, and troubleshoot model APIs and platform services using tools such as Prometheus, Grafana , or the ELK/EFK stack .
• Policy & Governance: Proficiency with Open Policy Agent (OPA) or similar policy-as-code frameworks for implementing and enforcing governance policies.
• MLOps Expertise: Solid understanding of MLOps capabilities , including ML model versioning, registry, and lifecycle automation using tools like MLflow, Kubeflow , or custom metadata solutions.
• Multi-Tenancy: Experience designing and implementing multi-tenant architectures for shared model and data infrastructure.
• Containerization & Orchestration: Strong knowledge of Docker and Kubernetes for containerization and orchestration.
• CI/CD & GitOps: Familiarity with CI/CD tools and GitOps practices for automated deployments and infrastructure management.
• Hybrid Cloud Deployments: Understanding of hybrid deployment strategies across on-premise virtual machines and public cloud platforms ( AWS, Azure, GCP ).
• Data science workbench understanding: Basic understanding of the requirements for data science workloads (Distributed training frameworks like Apache Spark, Dash, and IDE’s like Jupyter notebooks abd VScode)

Desired Skills*

• Security Architecture: Understanding of zero-trust security architecture and secure API design patterns.
• Model Serving Frameworks: Knowledge of specialized model serving frameworks like Triton Inference Server .
• Vector Databases: Familiarity with Vector databases (e.g., Redis, Qdrant) and embedding stores.
• Data Lineage & Metadata: Exposure to data lineage and metadata management using tools like DataHub or OpenMetadata
• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements.
• Utilizes multiple architectural components (across data, application, business) in design and development of client requirements.
• Performs Continuous Integration and Continuous Development (CI-CD) activities.
• Contributes to story refinement and definition of requirements.
• Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle.
• Extensive hands on supporting platforms to allow modelling and analysts go through the complete model lifecycle management (data munging, model develop/train, governance, deployment)
• Experience with model deployment, scoring and monitoring for batch and real-time on various different technologies and platforms.
• Experience in Hadoop cluster and integration includes ETL, streaming and API styles of integration.
• Experience in automation for deployment using Ansible Playbooks, scripting.
• Experience with developing and building RESTful API services in an efficient and scalable manner.
• Design and build and deploy streaming and batch data pipelines capable of processing and storing large datasets quickly and reliably using Kafka, Spark and YARN for large volumes of data (TBs)
• Experience designing and building full stack solutions utilizing distributed computing or multi-node architecture for large datasets (terabytes to petabyte scale)
• Experience with processing and deployment technologies such YARN, Kubernetes /Containers and Serverless Compute for model development and training
• Hands on experience working in a Cloud Platform (AWS/Azure/GCP) to support the Data Science

• Effective communication, Strong stakeholder engagement skills, Proven ability in leading and mentoring a team of software engineers in a dynamic environment.

Work Timings*

• 11:30 AM to 8:30 PM IST