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

Non Trading Market Risk Management - Vice President

The BSM NTMR Snr Ld analyst will drive the production needs and lead various wor...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

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

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

Vice President of Engineering

Join a Series A–funded digital asset risk-management platform backed by Microsof...

Location

United Kingdom

Salary:

140000.00 - 170000.00 GBP / Year

Orbis Consultants

Expiration Date

Until further notice

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

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

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

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

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

Data Analytics Lead - Data Scientist - Vice President

The Data Analytics Lead / Data Scientist is a strategic professional who stays a...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

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

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

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

Java Developer Vice President

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Pune, Maharashtra, India, Chennai, Tamil Nadu, India

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-10 years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Build and maintain advanced dashboards, KPIs, and automated reporting frameworks to monitor business performance
Partner with business stakeholders to translate requirements into analytical and machine learning solutions
Design and implement feature engineering pipelines and model evaluation frameworks

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
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

Fulltime

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Model Monitoring, Analytics and Insights – Vice President

Job Description

Job Responsibility

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