Model Monitoring, Analytics and Insights – Vice President Job at Citi (Bengaluru)

Model Monitoring, Analytics & Insights – Vice President

This position focuses on model performance monitoring, analytics, and insights f...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced Degree (Bachelors required or Masters preferred) in Statistics, Computer Science, Operations Research, Economics
Strong programming (SAS, SQL, Python, etc.) skills
Understanding of traditional modeling processes (linear/ logistic regression, segmentation, decision tree) and machine learning algorithms (Random Forest, Gradient Boosting, XG Boost, SVM, etc.), time series, linear/nonlinear optimization
Strong understanding of relevant model metrics / KPIs & bring out insights on model performance tracking
Good communication skill to be able to articulate technical information verbally and in writing to both technical and non-technical audiences is a must
Extensive experience in model monitoring/validation, performance scorecards, etc. in Excel, Tableau, Cognos, etc.
Experience in developing optimal/ automated solution of reporting processes using SAS, Excel VBA, Tableau will be a plus
10+ Years of relevant experience in model analytics and insights
At least 7 years of extensive experience in model monitoring, generating business insights, analytical projects contributing business value
Experience in automating reporting processes would be a plus

Job Responsibility

Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning
Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models including performance assessment, drill down root cause analysis for performance deterioration, coming up with mitigation action providing rational for continued usage of the model without business impact
Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance
Explain model performance to second line (Model Risk Management) of defense providing rational of model performance deterioration (if any), explaining the applicability of the usage of the model
Respond to queries from 3rd Line of Defense (Internal and External Auditors) on model performance
Work effectively across cross functional teams - Development, Implementation, Policy, Validation and Governance teams - coordinating the horizontal model usage and maintenance activities
Perform analysis for benchmark models and other ad hoc analysis as required by business/validation teams
Develop knowledge and drive discussions on Model usage across channels, score range with Risk Strategy managers
Conduct QA/QC on all steps (e.g., input data, model output, etc.) required for model monitoring and production forecast reporting
Deliver comprehensive write-up of ongoing model performance assessment, Annual Model Review / Revalidation documents

What we offer

Global benefits supporting employee well-being, growth, and work-life balance

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

Loss Forecasting and Analytics - Vice President

The Loss Forecasting and Analytics team is a critical group responsible for calc...

Location

India , Mumbai; Haryana

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in product program governance and risk management frameworks, with a strong preference for experience in cards/unsecured credit space and in loss forecasting and credit analysis
Strong analytical and quantitative statistical skills to identify, assess, and monitor consumer portfolio credit risks
Proficiency with SAS, Python, and R for extracting data from large datasets and performing statistical analysis
Thorough knowledge of credit source systems, collateral reporting systems, and end reporting/warehousing
Good knowledge of Citi products, risk processes, and controls with a solid understanding of regulatory requirements and risk management frameworks
Project management knowledge and experience working with diverse stakeholders to achieve milestones and deadlines, with the capability to manage multiple projects concurrently
Proven relationship management skills, with the ability to deepen relationships and build partnerships across the business, executive leadership, and key functional support areas (e.g., Government Affairs, Communications, Legal, Compliance, Control, in-business Risk, and Independent Risk)
Excellent proficiency in Microsoft Office Suite, particularly Excel (for metrics and data analysis), PowerPoint (for presentation decks), and Word (for procedural and technical documentation)
Demonstrated financial and risk reporting knowledge and experience from business and/or technical areas
Broad understanding of classifiable and delinquency managed credit and operational policies and procedures

Job Responsibility

Lead and execute risk financial loss forecasting efforts, including the design, development, and maintenance of complex credit loss and financial risk forecasting models for consumer credit products (e.g., Cards, Personal Installment Loans)
Conduct in-depth statistical quantitative analysis of cost of credit and delinquency trends, monitoring product trends to identify key areas of risk and opportunity within product portfolios
Analyze underlying model outputs against business expectations, ensuring models provide rational, logical, and accurate predictions
Identify, track, and report on initiatives, performance results, and emerging trends to senior management, providing actionable insights
Reconcile detailed financial data from disparate sources across covered portfolios, ensuring accuracy for presentations and memos prepared for regulators, business leaders, and external auditors
Provide strategic analytics and information management across Citibank products, ensuring data quality and control standards are maintained
Establish and nurture cross-functional partnerships and networks to support effective loss forecast execution
Prepare and deliver compelling presentations with supportive analysis, storyboarding results, and leading discussions with senior management, Finance, Independent Risk, and audit teams as part of business review and effective challenge processes
Assist with regulatory reviews and ensure best-in-class governance and documentation practices for these functions
Identify opportunities for improvement in Business-as-Usual (BAU) processes and drive efficiency through simplification and automation using tools such as VBA, SAS, Python, AI, and other relevant technologies

Fulltime

Data engineer AI and Analytics - Vice president

We are seeking a highly skilled and forward-thinking Vice President to lead our ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of technology experience, with a significant track record in wealth management technology at leading financial institutions
Deep, hands-on experience managing large-scale, high-throughput OLTP databases (e.g., Oracle, PostgreSQL, SQL Server)
Extensive experience with analytical data platforms, data warehousing, and data lakes (e.g., Snowflake, BigQuery, Redshift, Hadoop ecosystem)
Hands-on experience with the data engineering aspects of AI/ML, including feature engineering, data preparation for model training, and deploying models into production pipelines. Familiarity with MLOps principles
Proven track record of designing, building, and operating mission-critical, real-time RESTful APIs at scale
Strong data modeling skills for both transactional and analytical use cases
Expertise with performance measurement and monitoring tools (e.g., AppDynamics, Splunk, Prometheus, Grafana)
Proven ability to lead, mentor, and manage a high-performing engineering team
A strong, demonstrable work ethic and a deep sense of ownership, with a history of seeing complex systems through from conception to long-term operational stability
The ability to maintain a holistic, end-to-end view of a complex data ecosystem, understanding the flow of data from real-time transaction to analytical insight

Job Responsibility

Unified Data Platform Ownership:Lead a team of skilled engineers responsible for the design, development, and 24/7 operation of the unified client and account data platform, encompassing both high-throughput OLTP systems and large-scale OLAP analytical stores
AI & Advanced Analytics Enablement:Pioneer the application of AI/ML models on core client and account data to generate actionable insights, identify patterns, and create intelligent features for advisor and client applications. Partner with data science teams to provide them with high-quality, curated data
Real-Time API Management:Oversee the entire lifecycle of the high-throughput, low-latency APIs that provide real-time data to advisor workstations, client-facing portals, and other critical applications, ensuring they are performant, reliable, and secure
Data Integrity & Scale:Take ultimate responsibility for the integrity, availability, and performance of massive volumes of data across both transactional and analytical systems
Measurement & Analytics:Champion a culture of measurement. Define, monitor, and report on key performance indicators (KPIs) across the entire ecosystem, from database performance and API latency to data quality and the efficacy of AI models
End-to-End Ecosystem View:Serve as the subject matter expert for the entire client and account data ecosystem, from the foundational OLTP databases and real-time APIs to the analytical data warehouses/lakes and the AI/ML models they feed
Technical Strategy:Partner with global architects and business leaders to define the technical roadmap for the core data platforms, including strategies for data replication, ETL/ELT processes, and the integration of AI/ML capabilities

Fulltime

Loss Forecasting and Stress Testing Analytics - Assistant Vice President

This is an exceptional opportunity for a developing professional to independentl...

Location

India , Haryana, India, Mumbai, Maharashtra, India

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

7+ years of progressive experience in financial services, business analytics, or management consulting, with a strong emphasis on quantitative analysis
A post-graduate degree in a quantitative discipline such such as Statistics, Mathematics, Economics, Econometrics, Management, Operations Research, or Engineering
Demonstrated proficiency in analytical and automation tools (e.g., Python, SAS, VBA, Tableau) and a keen interest in leveraging AI for enhanced efficiency
Strong understanding of risk management principles
Experience with Loss Forecasting/CECL/ Stress Testing is highly preferred
Knowledge of the mortgage and/or retail bank industry and associated regulatory activities is a significant advantage
Exceptional quantitative aptitude, critical thinking, and problem-solving abilities, with a track record of delivering high-quality results
Excellent written and verbal communication skills, with the ability to articulate complex analytical concepts to diverse audiences
A strong work ethic, a collaborative spirit, and the ability to thrive in both independent and team-oriented environments
Bachelor’s/University degree or equivalent experience, potentially Masters degree

Job Responsibility

Lead Forecasting & Stress Testing: Drive the execution of quarterly loss/loan loss reserve forecasting and stress testing processes (e.g., CCAR, QMMF, Recovery Plan) for US mortgage and retail bank portfolios
Enhance Model Validation & Integrity: Actively participate in the review and challenge of existing models and their outputs, identifying opportunities for continuous improvement in alignment with portfolio performance and evolving macro-economic trends
Ensure models produce rational, logical, and accurate outcomes
Strategic Policy Analytics: Conduct sophisticated risk policy analytics to quantify the impact of credit, business, and regulatory policies on loss performance, seamlessly integrating these insights into the stress testing framework
Advanced Econometric Analysis: Perform in-depth econometric analysis to estimate and articulate the influence of changing macro-economic trends on key performance indicators such as portfolio losses and delinquency rates
Data-Driven Insights & Automation: Understand and analyze the key drivers of losses and loan loss reserves, their relative importance, and current trends
Leverage this knowledge to generate meaningful and accurate forecasts
Cross-Functional Collaboration: Partner with Risk and Finance organizations to optimize data sourcing, definition, extraction, and utilization processes, continuously improving our analytical capabilities
Process Optimization & Innovation: Identify and champion opportunities for process efficiencies through automation (using Python, VBA, SAS, Tableau), simplification of underlying data, forecasting, and reporting processes, including the innovative application of Citi AI solutions
Governance & Compliance Excellence: Oversee associated governance activities (Manager Control Assessment, End User Computing, Activity Risk Control Monitoring), ensuring best-in-class practices for documentation, version control, and central results summaries

Fulltime

AI, Metrics and Insights Engineering Lead - Senior Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in AI, ML and Data Engineering and development
5+ years of leadership experience managing distributed teams
Deep technical expertise in middleware technologies and their application in AI systems
Strong understanding of modern software development methodologies (Agile, DevOps)
Experience with Kafka and modern data stack like Trino, Iceberg, Databricks etc.
Proficient in Python and key python libraries, Agentic Frameworks, MCP
Expertise in containerization (Docker), orchestration (Kubernetes), and experience with CI/CD pipelines for AL/ML model deployment
Knowledge of distributed training and parallel processing frameworks is also required to handle large-scale AI projects efficiently
Experience with AWS services and infrastructure related to AI/ML, workflow
Experience in pattern recognition and predictive modeling

Job Responsibility

Lead Engineers and Developers: Design and execute our comprehensive Gen AI and Metrics strategy aligned with the organization's overall goals and help identify opportunities to automate and optimize business processes using generative AI
Lead and develop a High Performing Team: Lead, mentor, and manage a team of ML Engineers, Data Engineers and AI practitioners, ensuring retention and growth of top talent in this space
Drive Innovation: Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to develop impactful solutions and foster a culture of innovation and experimentation within the team
Hands-On Execution and Delivery: Oversee the end-to-end development and deployment of Solutions, ensuring timely delivery and adherence to quality standards. Actively involved in design and coding
Collaboration and Stakeholder Interaction: Build strong relationships with key stakeholders, including executives, business leaders, and clients. Collaborate with technical teams to ensure the feasibility and scalability of AI solutions to solve business problems
Deep understanding of latest and upcoming AI trends: Stay up to date with the latest advancements in the field and identify emerging opportunities. Lead and participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field
Regulatory and Ethical Compliance: Ensure that AI initiatives meet regulatory, data privacy, ethical AI standards, and corporate governance policies requirements while pushing the boundaries of technology innovation

Fulltime

Vice President, Business Analytics Lead Analyst

Location

United States , New York

Salary:

182000.00 - 205700.00 USD / Year

Citi

Expiration Date

July 17, 2026

Requirements

Master's degree, or foreign equivalent, in Engineering (any), Business Analytics or related field and 1 year of experience as a Credit Portfolio Senior Analyst, or related position involving analyzing data to monitor profitability, optimize revenue and costs for credit cards
Alternatively, employer will accept a Bachelor's degree in the stated fields and 3 years of the specified experience
Full span of experience must include: PySpark and HIVE within distributed computing environments, including EAP, for data manipulation, feature engineering, and statistical modeling for credit card transactional and behavioral data
SAS programming for data extraction from Teradata warehouses
Data transformations and developing predictive models for credit card revenue forecasting and credit card retention propensity scoring
SQL for query development, data extraction, and ad-hoc analysis from large-scale relational databases including Teradata
Profit and Loss (P&L) analysis for credit card portfolios
Developing comprehensive simulation scenarios to optimize portfolio performance
Data visualizations and dashboards using Tableau
Presenting to senior leadership

Job Responsibility

Strategic development and execution of advanced analytics for the Citi US Consumer Cards Retention program, encompassing both Account Retention and Pre-emptive Retention
Perform data analysis to identify customer behavior patterns across Phones, Digital, and Email channels, translating insights into targeted omni-channel marketing recommendations
Project management to build consensus and to maximize revenue and optimize portfolio value within the credit card business
Design, implement, and evaluate experimental designs, including A/B tests, partial-factorial, and full-factorial experimental designs, for testing new offers, products, strategies, and Existing Customer Management (ECM) initiatives
Provide actionable insights to continuously refine and recommend future offerings and strategies across all retention channels
Manage advanced segmentation and targeting models for credit card retention campaigns
Establish robust forecasting and performance measurement methodologies to predict and track impact
Formulate and present data-backed recommendations for future enhancements, strategic business opportunities, and operational policy adjustments for credit card retention
Identify attrition risks and the development of strategies to mitigate them
Translate complex analytical outputs into actionable credit card customer behavioral insights, and communicate findings to senior leadership

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Application Development with Java and Oracle - Vice President

We are seeking a strong and experienced Vice President to lead our Back Office E...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

13+ years of technology experience, with a significant track record in wealth management back-office technology at leading financial institutions
Deep, hands-on experience managing large-scale, high-throughput OLTP databases (e.g., Oracle, PostgreSQL, SQL Server) that support financial ledgers
Strong experience with analytical data platforms and data warehousing (e.g., Snowflake, BigQuery, Redshift) for reporting and analytics on financial data
Proven track record of designing and operating mission-critical data services and APIs
Strong data modeling skills for financial transactional systems and ledgers
Experience with or exposure to the application of data analytics or AI/ML for process automation, reconciliation, or anomaly detection is a plus
Expertise with performance measurement and monitoring tools (e.g., AppDynamics, Splunk, Prometheus, Grafana)
Proven ability to lead, mentor, and manage a high-performing engineering team
A strong, demonstrable work ethic and a deep sense of ownership, with a history of seeing complex systems through from conception to long-term operational stability
The ability to maintain a holistic, end-to-end view of a complex back-office ecosystem, understanding the flow of data from trade execution to final settlement and reporting

Job Responsibility

Lead a team of skilled engineers responsible for the design, development, and 24/7 operation of the core back-office platforms, including systems for trade processing, settlement, intra-day book-keeping, and the official wealth books and records
Oversee the development and management of robust data services and APIs that provide accurate, timely position, balance, and transaction status information to front-office and middle-office systems
Leverage modern data techniques to enhance operational efficiency. Apply analytics and, where appropriate, AI/ML to improve processes like reconciliation, identify data anomalies, and generate insights from the vast datasets within the books and records
Take ultimate responsibility for the accuracy, integrity, auditability, and performance of the firm's official wealth books and records
Champion a culture of measurement. Define, monitor, and report on key performance indicators (KPIs) across the entire ecosystem, including batch processing times, data reconciliation breaks, and API latency
Serve as the subject matter expert for the entire back-office ecosystem, from trade capture and settlement systems to the general ledger, sub-ledger, and downstream reporting platforms
Partner with global architects and business leaders to define the technical roadmap for the back-office platforms, driving the modernization of legacy systems and improving intra-day processing capabilities

Fulltime

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Model Monitoring, Analytics and Insights – Vice President

Job Description

Job Responsibility

Requirements

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