Modeler Job at Disney (London)

Officer- Model Oversight & Model Maintenance- Business Planning Models

Model Maintenance and Oversight - overseeing model maintenance activities to ens...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6+ years of experience with good understanding of FP&A processes and management reporting
Professional degree equivalent to CA/MBA
Proficient in Microsoft Office with an emphasis on MS Excel
Knowledge with financial forecasting systems
Knowledge of Tableau, Knime and Python would be preferred
Experience of working with financial data and knowledge of financial reporting tools
Consistently demonstrates clear and concise written and verbal communication skills
Self-motivated and detail oriented
Demonstrated project management and organizational skills and capability to handle multiple projects at one time

Job Responsibility

Model Maintenance and Oversight - overseeing model maintenance activities to ensure compliance with Model Risk Management (MRM) guidelines and deadlines
Update inventory tracker for new models and changes in existing models
Monitor due dates and ensure alignment with model sponsors and MRM teams
Partner with FP&A teams to conduct Annual Model review and Ongoing Performance Assessments quarterly (high-risk models), semi-annually (medium-risk), and annually (low-risk)
Review the Ongoing monitoring results to identify potential model fatigue and preemptively remediate the issue by working with Model sponsors to ensure forecast accuracy
Support model documentation across model life cycle for various BAU and new model deliverables
Prepare and submit model documentation in approved MRM templates within iMRMS
Respond to MRM queries to ensure documentation approval by deadlines
Comply with various guidelines, timelines in relation to Models in coordination with various stakeholders and stay updated on any changes and additional requirement pertaining to above and comply on the same
Build strong relationships with stakeholders across MRM, FP&A, FTO, and Transformation teams

Fulltime

AVP- Model Oversight & Model Maintenance

This role involves overseeing model maintenance and governance to ensure complia...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5+ years of experience with good understanding of FP&A processes and management reporting
professional degree equivalent to CA/MBA
proficient in Microsoft Office with an emphasis on MS Excel
knowledge with financial forecasting systems
knowledge of Tableau, Knime and Python would be preferred
experience of working with financial data and knowledge of financial reporting tools
consistently demonstrates clear and concise written and verbal communication skills
self-motivated and detail oriented
demonstrated project management and organizational skills and capability to handle multiple projects at one time
willing to work afternoon shifts, 1 pm to 10 pm

Job Responsibility

Oversee model maintenance activities to ensure compliance with Model Risk Management (MRM) guidelines and deadlines
track model inventory
coordinate across corporate teams, model risk management teams, transformation teams, and FP&A teams to provide status updates and respond to model related requests
maintain model documentation throughout the model lifecycle
update inventory tracker for new models and changes in existing models
monitor due dates and ensure alignment with model sponsors and MRM teams
partner with FP&A teams to conduct Annual Model review and Ongoing Performance Assessments
review the Ongoing monitoring results to identify potential model fatigue
prepare and submit model documentation in approved MRM templates within iMRMS
respond to MRM queries to ensure documentation approval by deadlines

Fulltime

CCAR Quantitative Modeler – Unsecured Products

This position within US Personal Banking Risk will develop CCAR/CECL models for ...

Location

India , Gurgaon; Bengaluru; Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
2-5 years’ experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses
Experience with dynamics of unsecured or secured products a strong plus
Active role in performing some analytical components of an econometric modeling-driven stress loss process (data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation)
Exposure to various stress loss modeling approaches at the segment or account level preferred
Able to communicate technical information verbally and in writing to both technical and non-technical audiences
Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint
Work as an individual contributor

Job Responsibility

Obtain and conduct QA/QC on all data required for CCAR/CECL model development
Develop segment and/or account level CCAR/CECL stress loss models
Perform all required tests (e.g. sensitivity and back-testing)
Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed
Deliver comprehensive model documentation
Work closely with cross functional teams, including country/region’s business stakeholders, model validation and governance teams, and model implementation team
Prepare responses/presentations to regulatory agencies on all CCAR/CECL models built

Fulltime

Senior Analyst and statistical modeler

Part of the cornerstone of our firm’s marketing and analysis efforts.

Location

United States , Tempe

Salary:

Not provided

Zion & Zion

Expiration Date

Until further notice

Requirements

Extremely well versed in statistics
Masters in Statistics or Applied Mathematics or similar
Expert in creation of regression models, time series models and other modeling techniques
Significant and up-to-date knowledge in statistical modeling
Background in programming
Business savvy
Exceptional written and oral communications skills
Understanding of concepts like revenue, margins, return on investment
Experience in web analytics is desirable

Job Responsibility

Taking inputs such as web traffic data, schedules for TV and radio spots, marketing spend, revenue generated, etc. and building models to assess what effect the independent variables had on the dependent variables
Applying the right math and algorithms to remove seasonal and other trends from parts of the data
Using directional indicators without statistical significance to make recommendations based on models and data
Presenting to clients

Avp ml and genai model validation

Embark on a transformative journey as an AVP ML and GenAI Model Validation at Ba...

Location

India , Noida

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Highly numerate, evidenced by an Honours degree, master’s, or PhD (or equivalent) in a quantitative discipline such as Computer Science, Mathematics, Physics, Operational Research, Economics, Engineering, or Finance
Experience developing, validating, or independently reviewing best‑in‑class tools and AI/ML models for large financial institutions or comparable regulated environments, with the ability to effectively challenge and improve model methodologies and model management processes
Strong analytical and technical expertise in AI/ML modelling, including experience with ML algorithms (e.g., XGBoost, LightGBM, Random Forest), NLP models, and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
Experience developing or validating AI/ML models on large datasets in Hadoop/AWS environments
Designed, fine‑tuned, and shipped Generative AI models - transformer‑based LLMs, RAG systems for grounded retrieval, and GANs-using PyTorch/TensorFlow and Hugging Face, including prompt engineering, RLHF, and rigorous evaluation of GenAI models
Hands‑on experience with Generative AI technologies, including Large Language Models, Transformers, retrieval‑augmented generation (RAG), and prompt‑based systems
familiarity with LangChain and LangGraph
Experience designing, developing, validating, or reviewing agent‑based AI architectures, including multi‑agent orchestration, task planning, memory management, and safeguard mechanisms
Sound understanding of financial services regulatory expectations and model risk guidance (e.g., SR 11‑7, SS1/23, IFRS 9, EU AI Act etc.)
Strong communication and influencing skills, with the ability to produce high‑quality written material for both technical and senior non‑technical audiences

Job Responsibility

Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models
Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses
Assessment of any compensating controls used to mitigate Model risk
Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement
Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning
Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty

What we offer

Hybrid working
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

Fulltime

Risk Model Monitoring Execution Analyst

The role involves tracking, production, and implementation of CCAR/DFAST/ICAAP a...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Degree in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, or other highly technical quantitative discipline
0 to 2 years’ experience in developing or tracking quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and econometric modeling of consumer credit risk
Strong working knowledge in SAS Programming, ability to code from scratch, automate SAS processes etc.
Strong working knowledge in UNIX environment, working on FTP sessions (Putty/Tectia etc.)
Expertise in successfully executing either the model development or model performance tracking components of an analytical, econometric modeling-driven stress loss process
Expertise in running model implementation and model tracking processes across consumer products and/or business lines
Expertise in delivering technical presentations to countries, regions, internal modeling oversight functions, external regulators (e.g., FRB, OCC, FDIC), and internal audit functions
Strong capabilities in communicating technical information verbally and in writing to both technical and non-technical audiences
Candidates who have performed comparable functions to those listed above for significant, complex financial institutions at a consulting company, vendor, or service provider would be strongly considered as well
Tableau, Advanced Excel, VBA Automation programming is preferred

Job Responsibility

Obtain/implement model from model development to production environment, and obtain updated data from countries/regions and/or Risk Architecture to run primary & benchmark CCAR models
Document all production related activities around production/model implementation/performance tracking
Run quarterly model prediction performance back-testing and sensitivity analysis against accuracy and other required model performance triggers for production models
When performance shifts are observed, perform diagnostic analytics around drivers on the models
Document & review base and stress CCAR model performance with assigned countries & regions quarterly and assist countries and regions in their use of the CCAR/DFAST models in business activities such as loss forecasting/benchmarking their loss forecasts and assessing the risk of various lending segments (i.e., Risk Appetite)
Review model performance and drivers of any gaps or deterioration in model performance with MRM, IRMO, and regional and country risk managers
Perform full, formal annual model review to follow MRM’s guidance and standards

Fulltime

Regulatory Model Monitoring Analyst

This position within US Personal Banking and Wealth Management will focus on reg...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced Degree (Masters required, PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
2+ years’ experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses
Experience with dynamics of unsecured products a strong plus
Active role in performing some analytical components of an econometric modeling-driven stress loss process (data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation)
Exposure to various stress loss modeling approaches at the segment or account level preferred
Able to communicate technical information verbally and in writing to both technical and non-technical audiences
Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint
Work as an individual contributor

Job Responsibility

Analyze quarterly model performance results and other required model performance analysis for production models
When forecast or performance shifts are observed, perform diagnostic analytics around drivers including standard reporting as well as drill down analytics
Explain model results and review drivers of observed gaps or deterioration in model performance with regional/country risk managers and internal model development teams
Perform formal quarterly and annual model review according to MRM’s guidance and standards
Respond to MRM’s questions as needed
Obtain and conduct QA/QC on all data required for CCAR/CECL model development
Deliver comprehensive model documentation
Work closely with cross functional teams, including country/region’s business stakeholders, model validation, governance teams, model development and implementation teams

Fulltime

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

Modeler

Disney

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 10, 2026

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