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

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

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

Vice President, Global Analytics & Data Science

The Vice President, Global Analytics & Data Science, will define, scale, and lea...

Location

United States , Las Vegas, NV; Austin, TX

Salary:

262028.00 - 486623.00 USD / Year

Aristocrat Gaming

Expiration Date

Until further notice

Requirements

15+ years of dynamic experience in analytics, data science, or data-driven transformation
5+ years in senior or executive leadership roles within analytics, data science, or data-driven transformation
Consistent record of defining and delivering enterprise analytics strategies that drive measurable business impact
Demonstrated experience building and scaling analytics and data science platforms
Expertise in AI/ML technologies, including predictive modeling, generative AI, and advanced analytics methodologies
Strong understanding of ML Ops practices, including model deployment, governance, monitoring, and lifecycle management
Experience leading global, cross-functional teams spanning analytics, data science, and engineering
Confirmed ability to collaborate effectively with product, technology, and commercial organizations to translate data and AI capabilities into business solutions
Excellent communication and storytelling skills — able to influence C-suite collaborators and translate sophisticated analytics and AI concepts into strategic insights
Strong familiarity with modern data and analytics stacks, cloud platforms (e.g., AWS, GCP, Azure, Snowflake), and visualization tools (e.g., Tableau, Power BI, Looker). (Sql knowledge, conceptual, not daily coding)

Job Responsibility

Define and implement an enterprise analytics strategy that enables a scalable, customer-facing Analytics-as-a-Service operating model
Establish service models, engagement patterns, prioritization frameworks, and success metrics that balance business demand, delivery capacity, and strategic value
Act as a senior advisor to business leaders and customers, setting clear expectations on scope, timelines, tradeoffs, and outcomes for analytics engagements
Building a long-term vision for analytics evolves the organization from reporting to insight-led decision enablement, including predictive and prescriptive modelling of data and responsible adoption of AI-powered analytics
Promote data storytelling as a core skill in the analytics team, making sure insights are clear, contextual, and ready for decision-making
Establish standards for visualization, narrative flow, and communication with executives across analytics outputs
Ensure analytics leaders and practitioners can turn complex analytical results into business-relevant stories that drive action at all organizational levels
Offer knowledgeable guidance on BI, analytics, and AI platforms, with a solid understanding of what high-quality, scalable analytics look like
Collaborate with data engineering and technology teams to ensure analytics platforms are reliable, user-friendly, and capable of supporting future growth
Define how AI-driven analytics (such as augmented analytics, natural language insights, and automation) can ethically improve scale, efficiency, and customer experience

What we offer

health, dental, and vision insurance
paid time off
401(k) plan with employer matching

Fulltime

Credit Risk Analytics- Lending - Vice President

The Credit Portfolio Senior Manager is a management-level position responsible f...

Location

India , Haryana; Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-10 years of experience with analytical or data manipulation tools (e.g., SAS, SQL, R, SPSS)
Experience with econometric and statistical modeling or application risk scoring
Experience in big data with knowledge of probabilities/distributions, building decision trees and regression models
Proficiency in MS Office
Proven ability to derive patterns, trends and insights, perform risk/reward trade-off analyses and connect these analytics to business impacts
Demonstrated quantitative, presentation and analytic skills
Consistently demonstrate clear and concise written and verbal communication
Bachelor's degree/University degree or equivalent experience
Master's degree preferred

Job Responsibility

Maintain compliance with Citibank credit policies/practices, regulatory policies and prepare, update, and ensure approval of all internal policy and procedure changes, keeping proper change and approval logs
Conduct managerial responsibilities, including coaching/mentoring, performance management and evaluation (including managing the Review the Reviewer process), work assignment management and resource/capacity management, monitoring and escalating as needed
Continuously identify process improvements and efficiencies to support business unit goals through dissecting issues and making recommendations
Monitor daily queue dashboard and production reports and address production and/or pipeline management issues, serving as a an escalation point of contact for these and SLA related issues with the goal of enhancing customer experience
Conduct analyses related to policy (e.g., benefits tracking), bureau and alternate credit information, risk and reward trade-off, etc. by leveraging data and creating ad-hoc analyses/management information systems (MIS)
Identify business opportunities, develop credit tests and risk strategies, balancing risk and return, and work with cross-functional teams to ensure flawless execution of policy tests and strategies
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Fulltime

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Model Monitoring, Analytics and Insights – Vice President

Job Description

Job Responsibility

Requirements

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