דרושים Model Review / Maintenance - C9 ב-Citi Group ב-India, Bengaluru

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Transaction Management will be responsible for supporting multiple aspects of the lending lifecycle including but not limited to loan closing and servicing coordination, facilitating complex client onboarding, data management, and quality control. The team will be accountable and responsible for operational oversight of the closing and servicing of all loan transactions of the business division being supported to ensure all internal and external requirements are met.

In this role, you’re expected to:

• Contribute to the build and development team to support loan origination and lifecycle management which includes large complex syndicated and bilateral loans covering but not limited to corporate, commercial, real estate, structured lending and trade.

• Assist with the creation of processes, standards, procedures, controls, training, and implementation of transaction management.

• Aid in the design and implementation of technology including testing and rollout.

• Provide training and support to transaction management staff and business constituents.

• Partner with each of the originating and coverage business lines, credit risk, operations, legal, etc.

• Ensure that quality of data, controls and processes performed meet internal policies and regulatoryrequirements/expectations.

• Work with lines of business, transaction management, and loan operations to define and implement operational metrics and risk and control reviews to ensure all stakeholders have end to end transparency.

• Constantly improve processes, controls and efficiencies within the group and front to back across loan lifecycle

• Participate in projects to enhance performance and efficiency.

• Take part in loan remediation and loan system testing / migrations.

• Actively manage and maintain a deal closing pipeline of loan transactions.

• Coordinate and close loantransactions/lifecycleevents, capture data, store documentation, troubleshoot issues/roadblocks, perform quality control

• 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 a successful candidate, you’d ideally have the following skills and exposure:

• 5-8 years relevant experience

• Individual must have excellent communication, organizational and interpersonal skills.

• Individual must work well under tight deadlines, manage priorities, and complete assigned tasks with minimal management follow up.

• Candidate has quantitative skills with a high proficiency with Excel and other Microsoft based programs.

• Tableau or visualization tool familiarity

• Experience with Loan IQ, transaction capture tools, etc.

• Keen attention to detail

• Developed analytical and problem-solving abilities

• Client relationship and solution skills

Additional non-core qualifications which will be considered are:

• Experience within a large global team supporting wholesale lending at large financial Institution

• Knowledge of wholesale loan (syndicated / bilateral) product and business, including an understanding of legal loan documentation, loan / funding mechanics, deal structure, funds flows, etc.

• Experience working with clients under time constraints to facilitate a transaction or process.

• Proven ability to collaborate with team members, Senior management, and other business constituents

• Critical decision-making capabilities including the ability to identify, escalate, and propose solutions to problems

• Ability to multi-task through the practice of strong organizational and time management skills with experience in continuously following-up with various stakeholders

• Understanding and awareness of appropriate corporate and regulatory policies in relation to Lending

• Deep understanding of operational processes supporting Wholesale lending

• Focus on achieving/exceeding key operating standards within a KPI/metrics driven culture

• Ability to work in an environment where priorities are frequently changing

• Bachelor's/Universitydegree or equivalent experience

Take the next step in your career, apply for this role at Citi today

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:

Role Description

• The role will beBusiness Analytics Analyst 2within the Model governance area of North America Consumer Bank team. Responsible for ensuring comprehensive and regulatory-compliant documentation of financial models used in North America Consumer Bank.
• This role requires a balance of technical understanding, regulatory procedures/policies and strong documentation skills.
• The role will report to the AVP / VP leading the team

Role Expectations:

• Detail-oriented - Ensure all model-related records are detailed, accurate, and complete covering various aspects of a model lifecycle and further align with Citi internal controls and policies
• Effective collaboration - Work closely with model developers, business partners, validators and stay up to date on policy changes and guidelines
• Statistical mind set– Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.
• Communication skills– Ability to clearly articulate technical thoughts and business context to both technical and non-technical stakeholders.
• Strong sense of Ownership - Ability to own and deliver multiple projects in parallel. This would require an understanding of business context, technical specifications and even greater understanding of internal controls/policies/processes.
• Continuously enhance process to improve efficiency and consistency across teams
• Contribute to organizational initiativesin wide ranging areas including competency development, training, organizational building activities etc.

Role Responsibilities:

• TheBusiness Analytics Analyst 2is a developing 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.
• Primary focus areas would be model governance related responsibilities for multiple portfolios. Responsible for creating, updating and maintaining detailed documentation of the outcomes from model monitoring & review process, performed at regular intervals.
• Work with model governance & fair lending teams to ensure compliance of models in accordance with Citi standards; Provide guidance to business on governance best practices.
• Oversee the model inventory and ensure all the work is properly documented, undergone appropriate validation and approval processes, compliant with policies, procedures and relevant deadlines associated with the validation, ongoing monitoring and model change processes
• Incumbents are required to work with large and complex data sets using a variety of tools (Python, PySpark, SQL, SAS, R etc.) to help evaluate/monitor performance of existing models.
• The analyst will work with other members in the team, along with peers from model risk management (MRM) and fair lending compliance teams.
• Requires attention to detail when making judgments and recommendations based on the analysis of factual information.
• Uses strong analytical and process management skills for quality control over deliverables.
• 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

What do we look for:

If you are a bright and talented individual looking for a career in AIM, Citi has amazing opportunities for you.

• Bachelor’s Degree with 3 years of experience in data analytics, or Master’s Degree with 2 years of experience in data analytics, or PhD.
• Technical Skills
  • Hands-on experience in PySpark/Python/R/SAS programing along with proficiency in Microsoft Office tools
  • 2-4 years of experiencein model risk management, model validation/ monitoring / reporting and documentation in financial services
  • Understanding of model risk regulations and fair lending laws.
  • Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
  • Strong background in Statistical Analysis with exposure to Machine Learning & Deep learning modeling techniques
  • Capability to validate/maintain deployed models in production
• Consistently demonstrates clear and concise written and verbal communication skills
• Strong project management skills with capability to handle multiple projects at one time
• Self-motivated and detail oriented
• Experience in Credit Cards and Retail Banking is preferred
• Competencies
  • Strong communication skills
  • Multiple stake holder management
  • Strong analytical and problem solving skills
  • Excellent written and oral communication skills
  • Strong team player
  • Control orientated and Risk awareness
  • Working experience in a quantitative field
  • Willing to learn and can-do attitude
  • Ability to build partnerships with cross-function leaders

Education:

• Bachelor's / master’s degree in economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering etc. from a premier institute

Other Details

• Employment: Full Time
• Industry: Credit Cards, Retail Banking, Financial Services, Banking

Time Type:

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• CCAR Quantitative Modeler – Unsecured Products

  Description:

• This position within US Personal Banking Risk will develop CCAR/CECL models for unsecured portfolios (e.g., credit cards, installment loans etc.)
• Responsibilities:
  • 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
  Qualifications:

  • 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

Time Type:

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Responsibilities:

• Assist with solutions & implementations
• Performs relatively complex and varied assignments
• Demonstrates technical/administrative expertise
• Applies specialized functional area skills and basic knowledge including underlying professional/technical principles or standards
• Basic knowledge of the organization and its policies required
• 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:

• Previous relevant experience
• Demonstrate ability to problem solve
• Customer service skills
• High attention to detail

Education:

• Bachelors/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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