CrawlJobs Logo

Model Monitoring, Analytics and Insights – Vice President

https://www.citi.com/ Logo

Citi

Location Icon

Location:
India , Bengaluru

Category Icon
Category:

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

This position within Global Consumer Banking will focus on model performance Monitoring, Analytics & Insights for Non-Regulatory Decision Models for Unsecured products (e.g., Credit Cards).

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 adding business value
  • Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors
  • Partnering with Risk Policy leads to help understanding the levers / cut off adjustments required in scores baked in Risk strategies
  • Explain model performance to second line (Model Risk Management) of defense
  • 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
  • Perform analysis for benchmark models and other adhoc 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 required for model monitoring and production forecast reporting
  • Deliver comprehensive write-up of ongoing model performance assessment, Annual Model Review / Revalidation documents
  • Understand model variables and economic forecasts and conduct drill down analysis and reporting of model performances
  • Deliver end user computing process related mandates
  • Manage own projects independently
  • Train and mentor junior team members on Model Monitoring, generating insights from different analysis required by business.

Requirements:

  • Advanced Degree (Bachelors required or Masters preferred) in Statistics, Computer Science, Operations Research, Economics, etc.
  • 10+ Years of relevant experience in model analytics and insights
  • 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
  • Extensive experience in model monitoring/validation, performance scorecards, etc. in Excel, Tableau, Cognos, etc.

Nice to have:

  • Experience in developing optimal/ automated solution of reporting processes using SAS, Excel VBA, Tableau will be a plus
  • Experience in adoption of AI in bringing efficiency into core functional process, automating reports would be a plus.

Additional Information:

Job Posted:
March 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Model Monitoring, Analytics and Insights – Vice President

Model Monitoring, Analytics & Insights – Vice President

This position focuses on model performance monitoring, analytics, and insights f...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Global benefits supporting employee well-being, growth, and work-life balance
  • Fulltime
Read More
Arrow Right

Assistant Vice President - Data Analytics

The Data Analytics AVP is a seasoned professional role. Applies in-depth discipl...
Location
Location
India , Mumbai; Bengaluru
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years experience using tools for statistical modeling of large data sets
  • Ability to effectively use complex analytical, interpretive and problem solving techniques
  • Demonstrated interpersonal, verbal and written communication skills
  • BS/BA degree or equivalent combination of education/experience. Degree in Management Information Systems (MIS), Mathematics, Computer Science or Information Technology (IT) preferred
  • 5 + years of experience in a related role with intermediate to advanced experience in SAS, SQL, Python and Tableau
  • Effective negotiation skills, a proactive and 'no surprises' approach in communicating issues and strength in sustaining independent views
  • Experience supporting a Consumer business in the financial sector is preferred
  • Strong interpersonal skills for interfacing with all levels of internal and external audit and management
  • Prior internal audit experience and/or statistical experience is a plus
Job Responsibility
Job Responsibility
  • Develops and supports Computer Assisted Audit Techniques and Tools (CAATTs) primarily using Python, SAS and SQL
  • Support Risk Based Audits and Issue Validation through independent testing of data sets across multiple platforms
  • Performs independent testing of business data extractions and segmentations for completeness, accuracy and applicability to internal audit testing and regulatory requirements
  • Test controls through the acquisition of data and information related to business processes, procedures, and database environments
  • Develops and supports reporting to monitor the risk environment and assesses emerging risks through the business monitoring process
  • Provides Management Information support including production and management of governance and regulatory reporting
  • Demonstrates strong judgment, political astuteness, and sensitivity to cultural diversity
  • Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function
  • Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
  • Mines and analyzes data from various banking platforms to drive optimization and improve data quality
What we offer
What we offer
  • Paid Parental Leave Policy
  • Financial well-being programs
  • Generous paid time off packages
  • Extensive on-the-job training and exposure to senior leaders
  • Volunteer opportunities
  • Fulltime
Read More
Arrow Right

Non Trading Market Risk Management - Vice President

The BSM NTMR Snr Ld analyst will drive the production needs and lead various wor...
Location
Location
India , Mumbai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6-10 years experience in Financial Services, Treasury, and bank global liquidity investment portfolio
  • Excellent Excel and PowerPoint skills for report building and presentations
  • Intermediate knowledge in debt investment securities and non-trading market risk such as FXRBB, commodity risk, private equity risk and CSRBB, QMMF and CCAR for Pensions, ATM/AFS portfolios, etc.
  • Intermediate understanding of regulatory, compliance, risk management and financial management, and data governance concerns
  • Intermediate understanding of Bank ALM, Capital, and Liquidity considerations
  • Intermediate experience in debt investment securities analytics, measurement, metrics and methodologies
  • Demonstrated ability to collaboratively solution complex and dynamic processes
  • Proven ability to work under pressure in ambiguous environments
  • Excellent oral and written communications skills
  • Previous experience interacting and working with Executive Leaders
Job Responsibility
Job Responsibility
  • Drive the production needs and lead various workstreams to develop, enhance, measure, and monitor 1st line Non-Trading Market Risk framework including Governance and Oversight, Metrics, Methodology, Measurement, Data and Infrastructure, Process and Controls, and Management for Commodity/Equity/CSRBB Framework, FXRBB, stress testing analytics relating to CCAR and QMMF for Citi's global Pensions, and AFS/HTM securities, and asset allocation design
  • Be a lead analyst to support the implementation of and contribute to BSM's process by providing key analytical insights across BSM functions with a primary focus on asset allocation, FXRBB, OCI stress testing analytics for (CCAR) and QMMF for pensions and AFS /HTM securities, Commodity/Equity/CSRBB risk
  • Provide leadership, market experience, and subject matter expertise for enhancing BSM's analytics and methodologies and establishing Citi's first-line NTMR management framework
  • Use subject matter expertise to aid senior leaders in aligning governance and management framework, procedures and controls for all legal entities that have OCI Risk, FX risk, commodity risk, credit spread risk in the Banking Book
  • Liaise with businesses, legal entity treasury, CTI and Markets Treasury, and Controllers teams to ensure both an understanding and the ability to manage other non-trading market risks
  • Support the team and assist Manager with remediation gap efforts in other non-trading market risk as required by Tier 1 regulations and help to remediate regulatory/audit self-identified issues concerning other non-trading market risks in the banking book and achieve target state framework
  • Interact with 2nd line FinCRO function, regulators, senior management and Non-Traded Market Risk governance committees
  • Provides advice and counsel related to the technology or operations of the business
  • Fulltime
Read More
Arrow Right

Managing Vice President and Global Brand Leader, The Ritz-Carlton, Ritz-Carlton Reserve + Bulgari

Marriott International is seeking a dynamic and visionary Managing Vice Presiden...
Location
Location
United States , Bethesda, MD or New York City, NY
Salary
Salary:
215775.00 - 401500.00 USD / Year
https://www.marriott.com Logo
Marriott Bonvoy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-year degree from an accredited university in Marketing, Business Administration, Hospitality Management or related major
  • 14+ years of experience in brand management, marketing, or a senior leadership role within the luxury hospitality industry demonstrating progressive career growth and a pattern of exceptional performance
  • Proven track record of developing and executing successful brand strategies on a global scale
  • Deep understanding of luxury market trends, consumer behavior, and competitive landscape
  • Strong leadership and team management skills, with the ability to inspire and motivate global teams.
Job Responsibility
Job Responsibility
  • Develop and execute a comprehensive global brand strategy with clear short-term and long-term objectives for The Ritz-Carlton and The Ritz-Carlton Reserve brands
  • Ensure the brand's business model, positioning, and core proof points are well-defined and scalable
  • Leverage global consumer insights, market trends, and competitor analysis to refine brand positioning and initiatives
  • Approve global resources (frameworks, toolkits, and training materials) to enable continent teams to represent the brand effectively
  • Oversee the development and execution of communication plans, for the launch of new or refined brand programs and initiatives
  • Monitor brand health through financial and guest voice metrics, using analytics to drive continuous improvements
  • Oversee budget planning and ensure efficient allocation of resources to maximize brand investments
  • Collaborate with luxury leaders across continents to set and achieve performance targets
  • Act as the global brand ambassador at key industry events and conferences
  • Build and maintain strong relationships with key stakeholders, including continent leaders, owner groups, and industry influencers
What we offer
What we offer
  • Marriott offers a bonus program
  • comprehensive health care benefits
  • 401(k) plan with up to 5% company match
  • employee stock purchase plan at 15% discount
  • accrued paid time off (including sick leave where applicable)
  • life insurance
  • group disability insurance
  • travel discounts
  • adoption assistance
  • paid parental leave
  • Fulltime
Read More
Arrow Right

Vice President of Engineering

Join a Series A–funded digital asset risk-management platform backed by Microsof...
Location
Location
United Kingdom
Salary
Salary:
140000.00 - 170000.00 GBP / Year
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Languages & Backend: Python, Go (Golang), TypeScript
  • Strong understanding of distributed systems, microservices, API-driven architectures
  • Data & Analytics: AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses)
  • Kafka, Kinesis, or other streaming/event platforms
  • Experience building large-scale ingestion and normalisation pipelines
  • Experience with analytics engines, scoring frameworks, and real-time compute
  • Cloud & Infrastructure: AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS)
  • CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines
  • Experience operating highly available systems in production environments
  • Security, Compliance & Enterprise: Secure systems design, identity/auth workflows, audit trails
Job Responsibility
Job Responsibility
  • Engineering Leadership & Execution: Lead engineering teams across backend, frontend, SRE, data platforms, and risk analytics
  • Drive execution of the engineering roadmap, delivering secure, scalable enterprise software
  • Define engineering processes that promote iteration, performance, and predictable delivery in a remote-first environment
  • Architecture & Platform Direction: Own end-to-end evolution of platform architecture: ingestion pipelines, scoring engines, real-time compute, APIs, and integrations
  • Guide system design decisions that ensure resilience, scale, and extensibility amid growing regulatory and market complexity
  • Lead technical direction for enterprise deployments, POCs, and customer integrations
  • Data Infrastructure & Analytics: Scale the data platform to support broader asset coverage, higher throughput, and more sophisticated analysis
  • Develop advanced analytics capabilities including anomaly detection, cross-chain signals, and automated scoring models
  • Ensure data accuracy, quality, and resiliency across pipelines and computation layers
  • Emerging AI & Automation Capabilities: Introduce new automation, reporting, and workflow intelligence features
What we offer
What we offer
  • Competitive salary + meaningful equity
  • Medical insurance (location dependent)
  • Fully remote + home office budget
  • Supported attendance at blockchain conferences
  • Opportunities to collaborate globally and shape emerging industry standards
  • Fulltime
Read More
Arrow Right

Senior Vice President - Underwriter - (Structured Credit and Real Estate Underwriting)

The Senior Vice President position will hold a critical role within the Structur...
Location
Location
India , Mumbai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 13+ years of credit, portfolio management or product experience (preferably real estate underwriting or asset management) in a financial institution, rating agency, financial guarantor, or asset management firm
  • Experience in leading a team and in coaching and mentoring junior bankers
  • Excellent organizational skills, prioritizing capabilities, attention to detail, and the ability to complete assignments within required deadlines in a fast-paced environment
  • Ability to understand capital markets products and complex financing and product structures
  • Ability to provide strategic insights and strong sensitivity to macro and regulatory issues, and impact of such issues on the various Risk families, including operational and franchise risks
  • Pro-active disposition with ability to work autonomously and within a team
  • Typically deals with complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting needs
  • Requires good analytical skills in order to filter, prioritize and validate potentially complex material from multiple sources
  • Knowledge of wholesale loan (syndicated / bilateral) product and business, including an understanding of legal loan documentation, loan / funding mechanics, deal structure, funds flows, etc.
  • On track for internal Senior Credit Officer designation is a plus
Job Responsibility
Job Responsibility
  • Accountability for ensuring strong analysis of the assigned Real estate portfolio ensuring consistencies with industry leading practices and compliance with all internal risk policies, standards and procedures
  • Interface with and support bankers in underwriting requests for commercial credit extensions for new and existing clients with ownership responsibilities for sound credit decisions and compliance with internal procedures/credit risk policy guidelines and standards
  • Adoption of leading practices in credit analysis, underwriting, and monitoring, including the end-to-end underwriting process, from early origination discussions to development of credit approval memos, and senior approval forums
  • Supervise analysts and associates to perform periodic monitoring of the portfolio
  • Ensure maintenance of organized credit files for credit, regulatory, and compliance purposes and ensuring compliance with WCR policies and processes
  • Perform quality control of the approval memos to ensure accuracy and completeness of input
  • Ensures team monitors the ongoing compliance of assigned deals with the documented financing terms and conditions, portfolio performance and financial triggers and makes appropriate recommendations with the aim of identifying and mitigating credit risks
  • Ensure ongoing and timely feedback and coaching of junior team to sustain a strong credit culture and an unwavering commitment to excellence in analysis and execution
  • Provide support to Director and other senior team members, lead projects and initiatives in the wider team
  • Support the ICM Real Estate Underwriting Verticals (Citi Community Capital, CRE) on strategic initiatives/projects
What we offer
What we offer
  • Global Benefits
  • Best-in-class benefits
  • Work-life balance
  • Fulltime
Read More
Arrow Right

Vice President, Global Analytics & Data Science

The Vice President, Global Analytics & Data Science, will define, scale, and lea...
Location
Location
United States , Las Vegas, NV; Austin, TX
Salary
Salary:
262028.00 - 486623.00 USD / Year
aristocratgaming.com Logo
Aristocrat Gaming
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • health, dental, and vision insurance
  • paid time off
  • 401(k) plan with employer matching
  • Fulltime
Read More
Arrow Right
New

Data Analytics Lead - Data Scientist - Vice President

The Data Analytics Lead / Data Scientist is a strategic professional who stays a...
Location
Location
India , Chennai; Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles
  • Advanced proficiency in SQL and relational database concepts
  • Strong programming experience in Python (required)
  • PySpark preferred
  • Hands-on experience building and deploying machine learning models (supervised and unsupervised)
  • Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
  • Strong knowledge of statistical modeling, feature engineering, and model validation techniques
  • Experience with BI tools such as Tableau or Power BI
  • Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred
  • Experience working with large-scale enterprise or financial datasets
Job Responsibility
Job Responsibility
  • Integrates subject matter and industry expertise within a defined area
  • Contributes to data analytics standards around which others will operate
  • Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
  • Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
  • Resolves occasionally complex and highly variable issues
  • Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
  • Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
  • 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
  • Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets
  • Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management
  • Fulltime
Read More
Arrow Right