Vp - Risk Model Monitoring Execution – C13 jobs at Citi Group in India, Bengaluru

Responsibilities:

• 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.

Qualifications:

• 12+ 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

Preferred Skillset:

• Hands-on Java, J2EE, Multi-Threading, Design Patterns, ORM , Kafka
• Oracle Data base
• Angular 18- Nice / Good to have
• Expertise on System Design & Enterprise Architecture
• Experience on Finetuning Application Performance
• Spring Core, Hibernate, Spring Boot
• Cloud Technologies such as OpenShift Enterprise
• Build & Deployment Tooling such as Maven, Jenkins
• Code Quality Tools such as Sonar, JUnits
• Monitoring Tools such as Splunk, Kibana, AppDynamics

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Time Type:

Responsibilities:

• 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.

Qualifications:

10+ years of progressive experience in the IT field, with a focus on data engineering and analytics.
• 8+ years of hands-on experience working with Hadoop and other big data technologies.
• 8+ years of experience in Python programming with expertise in automation testing to design, develop, and automate robust software solutions and testing frameworks.
• 8+ years of experience in designing, developing, and implementing complex data pipelines for data ingestion, transformation, and processing using PySpark and Python.
• 8+ years of experience in designing, developing, and implementing complex data pipelines for data ingestion, transformation, and processing using SAS and other ETL Tools like Ab Initio/ Data Stage.
• 8+ years of experience in designing, developing, and implementing complex data pipelines for scheduling.
• Experience in modernizing legacy pipelines by converting them to big data technologies, ensuring improved scalability and performance.
• 5+ years of experience leading large-scale data and analytics projects, with demonstrated ability to manage all aspects of the project lifecycle, from initiation to delivery.
• Familiarity with CI/CD practices and automation tools to streamline development, test automation and deployment processes.
• Proven experience in team leadership, including mentoring and guiding technical teams to achieve project goals.
• Industry experience within banking, capital markets, or the broader financial services sector is strongly preferred.
• Hands-on experience with enterprise-scale, multi-region projects, showcasing the ability to work in complex, distributed environments.

• Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Time Type:

JOB DESCRIPTION:

This position will focus on the model performance tracking, production and model implementation of CCAR/DFAST/ICAAP and CECL stress loss models for Citi's product portfolios on an US & international basis, including but not limited to leading the following activities:

Roles and 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.

Qualifications

• 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
• Proficient understanding of code versioning tools such as BitBucket, Job Scheduling in Autosys is considered a plus

Time Type:

The Model/Anlys/Valid Sr Mgr accomplishes results through the management of professional team(s) and department(s). Integrates subject matter and industry expertise within a defined area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Requires basic commercial awareness. 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. Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise. Involved in short-term planning resource planning.Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval.Responsibilities:

• Develops, enhances, and validates the Regulatory Loss forecasting coding framework for all Secured and Unsecured Loss forecasting models.
• Manages model risk across the model code development and deployment life cycle.
• Produces analytics and reporting used to manage development and implementation risks.
• Translates operational requests from the business into programming and data criteria.
• Assists in the development of analytic engines for Regulatory models.
• Communicates results to diverse audiences.
• Conducts analysis and packages it into detailed technical documentation report for validation purposes sufficient to meet MRM guidelines and exceed industry standards.
• Participates on teams to solve business problems.
• Identifies simplification and efficiency opportunities that yield measurable business results.
• Provides guidance to junior team members as and when necessary.
• Manages stakeholder interaction with model developers and business owners during the model code development and deployment life-cycle.
• Provides effective challenge to model code development standards.
• Contributes to strategic, cross-functional initiatives within the model risk organization.
• Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval.
• 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.

Qualifications:

• 10-13 years experience
• 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 .
• Practical experience using SAS or similar statistical coding software to code and test models. comfortable interfacing with business clients. proficiency handling very large data sets.
• Experience in a quantitative role in risk management at a financial institution with experience in either model code development or validation.

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

Time Type:

The Model/Anlys/Valid Analyst I is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise and logical way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.

• Generate production forecasts for economic scenarios. Produce additional on-demand runs to support analytical requests from peer groups and model sponsors.
• Implement new or enhanced model monitoring report in production environment
• Continuously work to maintain and improve governance controls relates to implementation and production process
• Generate standard reporting, comparison with previous results as well as drill down analytics for productions forecasts.
• Conduct QA/QC on all steps (e.g., macro-economy series, model output, etc.) required for production process.
• Deliver comprehensive write-up of production results and process as per internal and regulatory standards
• Understand model variables and economic forecasts and conduct drill down analysis and reporting of model production forecasts.
• Perform analysis for benchmark models and other ad hoc analysis as required by business/validation teams
• Work closely with cross functional teams, including country/region’s business stakeholders and model analytics
• Maintain and improve automation solutions for production process
• Ensure timely completion of governance controls and production results under tight timelines

• Responsibilities:Qualifications:Education:
  • Develop and implement automated solutions for model monitoring and transformation using tools such as SAS, Excel, Python, Visualization Tool like Tableau
  • Collaborate with cross-functional teams (analytics) to understand model monitoring requirements and reengineer SAS code
  • Design and maintain Data Quality check to ensure accuracy, efficiency, and reliability of model monitoring data.
  • Conduct data analysis to identify trends, patterns, and opportunities for optimization.
  • Generate insights and actionable recommendations based on analytical findings to support strategic decision-making.
  • Create visually compelling dashboards and presentations to communicate key insights to stakeholders.
  • Continuously monitor and improve existing model monitoring processes to enhance efficiency and effectiveness.
  • Ensure timely completion of governance controls and deal tight timelines
  • Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or related field.
  • Proven experience in report automation, data transformation, and analytics. –
  • Proficiency in programming languages and tools such as SAS, Python, Excel, Power BI, or similar.
  • Strong analytical skills with the ability to interpret complex data sets and draw meaningful conclusions.
  • Excellent communication and presentation skills with the ability to convey technical concepts to non-technical stakeholders.
  • Detail-oriented with a focus on accuracy and quality of work.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Master's degree in a relevant field

This position will focus on the model performance tracking, production and model implementation of CCAR/DFAST/ICAAP and CECL stress loss models for Citi's product portfolios on an US & international basis, including but not limited to leading the following activities:

Roles and 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/modelimplementation/performancetracking.
• 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 lossforecasting/benchmarkingtheir 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.

Qualifications

• 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
• Proficient understanding of code versioning tools such as BitBucket, Job Scheduling in Autosys is considered a plus

Time Type:

• Accountable for planning and managing a group of related technology projects or activities in a coordinated way from inception through successful delivery.
• Have a deep understanding of the design approaches and technologies utilized in your area.
• Focus on the customer experience, the build and delivery processes and the problems to be solved.
• Work across multiple scrum teams. Work may be cross-cutting across products, scrum teams, and/or technologies or your work may be vertically focused on a single product or feature set.
• Align dependent organizations and remove/mitigate all blocking issues.
• May work directly with external to Global Digital or external to Citi technology providers and customers.
• Work with limited guidance, seeking guidance as needed. The product and delivery strategy is defined; the design is not.
• Have a deep understanding of the business and technical requirements for the solutions being built.
• Understand the needs of the engineers and technical operations teams who have to build, maintain, and operate the system for the life of the system.
• Recognize complex designs and propose simplified solutions by working with software design engineers, principals, and TPMs.
• Help customers and the engineering teams make trade-off decisions by considering all of the data including business goals, technical platform strategy, customer experience, maintainability.
• Identify blocking issues and manage their resolution, anticipate bottlenecks and adequately factor in contingency for unplanned delays. You identify, assess, track and mitigate issues and risks at multiple levels. Determine if success metrics are in place and if not, work to define them.
• Write documentation as required.
• Partner with industry vendors that provide technology or user experience design components that support our Digital architecture and work with vendors on our implementation plans and roadmaps identifying partnership opportunities to increase our development velocity and our learnings.
• Communicate roll up of project issues and status in a concise, accurate, and professional manner for senior leadership consumption, escalating blocking issues when appropriate.
• Communicate progress, anticipate bottlenecks, provide escalation management, identify, assess, track and mitigate issues/risks at multiple levels.
• Recognize discordant views and take part in constructive dialog to resolve them.
• Work across teams to optimize processes. Regularly review metrics and proactively seek out new and improved data/mechanisms for visibility ensuring your program stays aligned with organization objectives.
• Continuously assess development processes, test plans, and operations.
• Work with teams to improve concurrent project delivery.
• Streamline and/or eliminate excess process in any area of the architecture, production operations environment, or business area where the same efforts (or issues) are repeated year-over-year.
• 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.

• 6-10 years in a program management position including time as a software developer,
• Significant experience managing complex business and/or transactional models.
• Demonstrated experience as a strong leader who can prioritize well, communicate clearly and compellingly, effectively influencing across cross functional teams.
• Experience delivering with an agile methodology

• Bachelor’s/University degree, Master’s degree preferred

Time Type:

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Responsibilities:

• Partner with business and development teams to identify engineering requirements, assisting in defining application, system, and process requirements, and maintain engineering relationships with the end user/client
• Proficient at operating with considerable autonomy and discretion as you will significantly influence the way an application is designed and developed by providing subject specific expertise and an understanding of application programming principles.
• Demonstrate an advanced understanding of supported main system flows and possess a comprehensive understanding of how the system and others (i.e. architecture or infrastructure) collectively integrate to contribute towards achieving business objectives. Using this expertise, assist with the development of standards for coding, testing, debugging and implementation. This will ensure application design adheres to the overall architecture blueprint.
• Participates in the full development life cycle, identify dependencies between agile and waterfall delivery, working within broadly defined parameters, including test plan execution and software quality needs
• Communicate progress, anticipate bottlenecks, provide escalation management, identify, assess, track and mitigate issues/risks at multiple levels.
• Recognize discordant views and take part in constructive dialog to resolve them.
• Work across teams to optimize processes.
• Regularly review metrics and proactively seek out new and improved mechanisms for visibility ensuring your program stays aligned with organization objectives.
• Continuously assess development processes, test plans, and operations.
• Work with teams to improve concurrent project delivery.
• Streamline and / or eliminate excess process in any area of architecture, build, delivery, production operations environment, or business area where the same efforts (or issues) are repeated year-over-year.
• Assist with training activities and mentor new and junior team members
• Appropriately assess risk when business decisions are made, demonstrating 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.

Qualifications:

• 10+ years of relevant experience in in apps development or systems analysis role
• Subject matter expertise on banking domain – Loans, Underwritting etc. will be an added advantage
• Must have experience with any of the following applications development areas: Java, Microservices, Spring Boot, Oracle, SQL, Cloud, AWS, front-end frameworks, or similar technologies.
• Experience in Business Process Engineering with knowledge of BPMN and DMN
• Project Management experience, including agile methodology
• Proven interpersonal, data analysis, diplomatic, management and prioritization skills
• Consistently demonstrate clear and concise written and verbal communication
• Proven ability to manage multiple activities and build/develop working relationships
• Proven self-motivation to take initiative and master new tasks quickly
• Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail

Education:

• Bachelor's degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Time Type:

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