Python GenAI - Assistant Vice President Job at Citi (Chennai)

Senior GenAI Specialist / AI Engineer - Assistant Vice President

We are seeking a highly skilled and passionate Senior GenAI Specialist to join o...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications
Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts
Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance
Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex)
Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain
Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP)
Strong analytical, problem-solving, and communication skills
Experience with MLOps principles and tools
Excellent collaboration skills

Job Responsibility

Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI
Design and implement intelligent chatbots
Process and analyze large datasets of structured and unstructured financial data
Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain
Develop and refine advanced prompting strategies for LLMs
Test, evaluate, and analyze the performance of LLM and other GenAI models
Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management
Communicate effectively with business stakeholders
Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI

Fulltime

Gen Ai Python Developer – Assistant Vice President

We are seeking a highly skilled and experienced Gen AI / Python Developer to joi...

Location

India , Chennai, Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8+ years of professional software development experience with a strong focus on Python
Proven hands-on experience with Generative AI concepts and technologies
Demonstrable experience working with GenAI-related APIs, such as OpenAI, Gemini, etc.
Solid understanding and practical experience in implementing Retrieval Augmented Generation (RAG) systems
Expertise in at least one modern Python web framework: FastAPI, Flask, or Django
Strong understanding of software development best practices, including version control (Git), testing, and CI/CD
Experience with relational and/or NoSQL databases
Excellent problem-solving skills and the ability to work independently as well as in a team environment
Strong communication and interpersonal skills
Good to have knowledge on Java and Frontend technologies

Job Responsibility

Design, develop, and maintain high-quality, scalable, and efficient Python code for Generative AI applications
Integrate and leverage various GenAI-related APIs (e.g., OpenAI, Gemini) to build innovative features and products
Implement and optimize Retrieval Augmented Generation (RAG) systems to enhance AI model capabilities and provide contextually relevant responses
Develop and deploy robust backend services using Python frameworks such as FastAPI, Flask, or Django
Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define requirements and deliver solutions
Write comprehensive unit and integration tests to ensure code quality and reliability
Participate in code reviews, contributing to a culture of high-quality code and best practices
Optimize application performance, scalability, and security

Fulltime

Genai engineer data science-assistant vice president

Data Science, Assistant Vice President – Analytics & Information Management (AIM...

Location

India , Gurugram, Haryana

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8+ years of experience in data analytics roles
Proficiency in analytics tools/technologies like SQL, SAS, Python, PySpark
Sound knowledge of machine learning/deep learning and statistical modeling techniques
Experience working with Machine Learning software frameworks and relevant Python libraries (e.g., scikit-learn, xgboost, Keras, NLTK, BERT, TensorFlow)
Hands-on experience in PySpark/Python/R programming along with strong experience in SQL
Experience working with large and multiple datasets, data warehouses
Strong background in Statistical Analysis
Experience working on Transformers/ LLMs (OpenAI, Claude, Gemini), Prompt engineering, RAG based architectures and relevant tools/frameworks (TensorFlow, PyTorch, Hugging Face Transformers, LangChain/Graph, LlamaIndex)
Understanding of transformers/language models
Familiarity with vector databases and fine-tuning techniques

Job Responsibility

Drive the development and implementation of analytical solutions to support key business objectives for Banking Operations & Analytics
Work with large, complex and unstructured data using a variety of tools (Python, PySpark, SQL, R) to build modeling solutions
Primary focus areas would be model building, model validations, model implementation and model governance related responsibilities for multiple portfolios
Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis
Work with other members in the team and business partners to jointly build model driven solutions using traditional methods as well as Machine Learning driven modeling solutions
Work with model governance & fair lending teams to ensure compliance of models in accordance with Citi standards

Fulltime

Senior Data Scientist – Gen AI Engineer - Assistant Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
8–12 years of experience as a Data Scientist or equivalent role, with at least 2 years of specialized, hands-on experience in Generative AI, including leading technical development and mentoring teams.
Demonstrable experience across the full lifecycle of production-level GenAI projects — from ideation and prototyping through deployment, monitoring, and ongoing maintenance in live environments.
Expert-level Python proficiency
Scikit-learn, XGBoost, LightGBM
PyTorch
Hugging Face Transformers, LangChain, LlamaIndex, Semantic Kernel
LangGraph, CrewAI, AutoGen
Transformer architectures
RAG patterns

Job Responsibility

Working with financial and enterprise data, applying modern NLP and GenAI techniques to solve business problems.
Designing, refining, and systematizing prompt engineering strategies for large language models (LLMs), including structured prompting, chain-of-thought, and few-shot/zero-shot approaches.
Collaborating with business stakeholders to translate requirements into GenAI-powered solutions.
Developing, testing, and maintaining production-grade Python code for GenAI applications.
Integrating with vector databases (e.g., Pinecone, Weaviate, Milvus, pgvector, Qdrant) for retrieval-augmented generation (RAG) pipelines.
Building, monitoring, and optimizing MLOps/LLMOps pipelines for continuous model deployment and observability.
Researching and evaluating emerging GenAI technologies, frameworks, and best practices to maintain competitive advantage.
Troubleshooting and debugging GenAI models and agentic systems in production, including rapid identification and resolution of issues in real-world deployments.
Communicating complex AI/ML concepts clearly to non-technical stakeholders, translating technical jargon into actionable business terms.
Participating in and leading team meetings, design reviews, and architecture discussions.

Fulltime

Regulatory Model Monitoring Analytics – Assistant Vice President

Citi’s Risk Modeling Solutions department is responsible for the development, de...

Location

India , Mumbai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced degree preferred (Master’s required, PhD preferred) in Statistics, Applied Mathematics, Compute Science, Operations Research, Economics, Finance (MBA), or another highly quantitative discipline
Strong programming skills in SAS, SQL, Python
experience with Tableau/Excel for performance reporting
Understanding of modeling techniques such as linear/logistic regression, machine learning techniques, segmentation, decision trees, survival models, time series analysis, etc.
Experience in applying analytical and statistical methods to explain performance variation and derive actionable insights
Excellent written and verbal communication skills, with the ability to simplify complex topics for senior audiences
Extensive experience in model monitoring, development or validation for loss‑forecasting models (CCAR/CECL)
Experience in developing optimal or automated reporting solutions using SAS, Python, SQL, Excel VBA, Tableau and GenAI tools
8+ years of experience in model monitoring, model development or validation, quantitative analytics, or related risk disciplines

Job Responsibility

Analyze and generate insights for Regulatory Risk Models (CCAR/DFAST/CECL/IFRS9 stress‑loss models), including performance assessment, root‑cause analysis for deterioration, recommended mitigation actions, and rationale for continued model usage
Quantify and articulate the business impact of model performance trends—translating changes in model accuracy into impacts on loss forecasts, capital, and reserves
Communicate results to diverse audiences. Present model performance to sponsors, developers and other senior stakeholders
Explain the model performance trends to Model Risk Management (MRM), including rationale for deterioration if observed. Prepare and deliver comprehensive write-ups for Ongoing Monitoring Reports and Annual Model Review documentation
Work effectively across cross‑functional teams—including Model Development, Implementation, Sponsors/Policy, Validation, and Governance— to ensure consistent model usage, aligned maintenance processes, and smooth execution of all model lifecycle activities
Support internal & external audits, and regulatory reviews by responding to model performance related inquiries and providing transparent, well‑structured documentation
Conduct robust QC on model inputs, outputs, and monitoring datasets to maintain accuracy and reliability
Leverage Gen AI to establish consistent and scalable processes, driving automation and simplification initiatives. Champion the responsible deployment of Gen AI, embedding transparency, robust governance, and proactive compliance with evolving AI regulations to ensure compliant and ethical outcomes
Mentor and support junior analysts in model monitoring techniques, analytical deep dives, and AI‑enabled insight generation. Contribute to a culture of analytical excellence, continuous improvement, and responsible innovation

Fulltime

Business Data Analyst - Assistant Vice President

This role is within enterprise data office and product solution team; focused on...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

9+ years of combined experience in banking and financial services industry, information technology and/or data controls and governance
Preferably Engineering Graduate with Post Graduation in Finance
Extensive experience in Capital Markets business and processes
Deep understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.) Or SFT (Repo, Reverse Repo, Securities Lending and Borrowing)
Strong Data analysis skills using Excel, SQL, Python, Pyspark etc.
AI-Accelerated Data Analysis: Leverage AI-powered tools (e.g., AutoML, Python libraries) to clean, analyze, and visualize data from structured and unstructured sources
Well versed with Prompt Engineering & Automation utilizing GenAI and LLMs
Experience with data management processes and tools and applications, including process mapping and lineage toolsets
Actively managed various aspects of data initiatives including analysis, planning, execution, and day-to-day production management
Ability to identify and solve problems throughout the product development process

Job Responsibility

Understand Derivatives and SFT data flows within CITI
Data analysis for derivatives products and SFT across systems for target state adoption and resolution of data gaps/issues
Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports
Document current and target states data mapping and produce gap assessment
Coordinate with the business for identifying critical data elements, defining standards and quality expectations, and prioritize remediation of data issues
Identify appropriate strategic source for critical data elements
Design and Implement data governance controls including data quality rules and data reconciliation
Design systematic solution for elimination of manual processes/adjustments and remediation of tactical solutions
Prepare detailed requirement specifications containing calculations, data transformations and aggregation logic
Perform functional testing and data validations

Fulltime

Business Data Analyst - Assistant Vice President

This role is within enterprise data office and product solution team; focused on...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

9+ years of combined experience in banking and financial services industry, information technology and/or data controls and governance
Preferably Engineering Graduate with Post Graduation in Finance
Extensive experience in Capital Markets business and processes
Deep understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.) Or SFT (Repo, Reverse Repo, Securities Lending and Borrowing)
Strong Data analysis skills using Excel, SQL, Python, Pyspark etc.
AI-Accelerated Data Analysis: Leverage AI-powered tools (e.g., AutoML, Python libraries) to clean, analyze, and visualize data from structured and unstructured sources
Well versed with Prompt Engineering & Automation utilizing GenAI and LLMs
Experience with data management processes and tools and applications, including process mapping and lineage toolsets
Actively managed various aspects of data initiatives including analysis, planning, execution, and day-to-day production management
Ability to identify and solve problems throughout the product development process

Job Responsibility

Understand Derivatives and SFT data flows within CITI
Data analysis for derivatives products and SFT across systems for target state adoption and resolution of data gaps/issues
Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports
Document current and target states data mapping and produce gap assessment
Coordinate with the business for identifying critical data elements, defining standards and quality expectations, and prioritize remediation of data issues
Identify appropriate strategic source for critical data elements
Design and Implement data governance controls including data quality rules and data reconciliation
Design systematic solution for elimination of manual processes/adjustments and remediation of tactical solutions
Prepare detailed requirement specifications containing calculations, data transformations and aggregation logic
Perform functional testing and data validations

Fulltime

Tableau Development - Assistant Vice President

The Tableau Developer Sr. Engineer/Sr. Programmer Analyst is a senior-level posi...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8+ years of relevant experience in application development and business intelligence
Proven experience as a Tableau Developer, including advanced skills in dashboard design, calculated fields, parameters, sets, filters, and LOD expressions
Strong experience with data preparation and data modeling for Tableau, connecting to various data sources (SQL databases, data warehouses, cloud data platforms, etc.)
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Demonstrated experience or exposure to Generative AI (GenAI) and Large Language Models (LLMs) in a development context, specifically for accelerating software development processes
Experience or exposure to the Banking Domain, particularly Capital Markets and Risk Management, would be highly advantageous/preferred
Strong SQL skills and experience with relational databases

Job Responsibility

Lead the full lifecycle development of Tableau dashboards and reports, including requirements gathering, data source identification, data modeling, visualization design, development, testing, deployment, and ongoing support
Design and implement complex data visualizations that translate intricate data sets into actionable business insights for various stakeholders
Optimize Tableau workbook performance, including data extracts, queries, and dashboard load times, ensuring scalability and responsiveness
Manage and maintain Tableau Server/Cloud environments, including user access, security, and content governance
Develop and maintain data connections to various sources, ensuring data integrity, accuracy, and refresh schedules
Actively explore and implement Generative AI (GenAI) and Large Language Models (LLMs) to accelerate various stages of the development lifecycle, including code generation, data schema design, documentation, and automated testing
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development and Tableau to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgment
Recommend and develop security measures in post-implementation analysis of business usage to ensure successful system design and functionality

Fulltime

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Python GenAI - Assistant Vice President

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