דרושים Vice President- Regulatory Model Development-c13 ב-Citi Group ב-India, Gurugram

Comprehensive Capital Analysis Review (CCAR) is an annual regulatory submission to US Federal Reserve Board (FRB). It is used to ensure that institutions have robust, forward-looking capital planning processes that account for their unique risks and sufficient capital to continue operations throughout times of economic and financial stress. As part of CCAR, the Federal Reserve evaluates institutions' capital adequacy, internal capital adequacy assessment processes, and their plans to make capital distributions, such as dividend payments or stock repurchases.

Responsibilities:

• Development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes. This includes the calculation of Net Interest Income (“NII”), Non-Interest Revenue (“NIR”), Interest Rate Exposure (“IRE”), and other associated interest rate risk metrics.
• Developing Champion and Challenger models using different time series forecasting methodologies to comply with SR 15-18 guidance.
• Development of Benchmark models using Industry data series to meet regulatory requirements
• Manage the model life-cycle from first-line of defense perspective and participate in Segmentation, Risk Identification, overlay discussions with Businesses and Finance teams.
• Responsible for writing model development documentation and partner with Model Risk Management (MRM) to address their feedback.
• Contribute to stakeholder conversations with Businesses, Finance, Treasury and Risk to seek their sign-offs on Champion models.

Qualifications / skill sets:

• 2-4 years of relevant statistical /business experience in financial services
• Strong understanding of statistical techniques such as Ordinary Least Square regression (OLS) , Fixed-effect Panel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration .
• Understanding of Machine learning algorithms will be a plus
• Hands-on experience in programming and modeling using SAS, Python and R is preferred.
• Follow a culture of accountability and strict quality control of the data integrity and modeling process
• Ability to build key relationships with finance and business teams
• Must be able to present technical matters in a way that is meaningful to the audience

Education:

• Masters / PhD in quantitative discipline such as Statistics, Economics or related discipline

Time Type:

• Comprehensive Capital Analysis Review (CCAR) is an annual regulatory submission to US Federal Reserve Board (FRB). It is used to ensure that institutions have robust, forward-looking capital planning processes that account for their unique risks and sufficient capital to continue operations throughout times of economic and financial stress. As part of CCAR, the Federal Reserve evaluates institutions' capital adequacy, internal capital adequacy assessment processes, and their plans to make capital distributions, such as dividend payments or stock repurchases.

  The FP&A Statistical Modeler Intmd Analyst is an intermediate level position, part of FP&A Model Development team

  Responsibilities:

• Development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes. This includes the calculation of Net Interest Income (“NII”), Non-Interest Revenue (“NIR”), Interest Rate Exposure (“IRE”), and other associated interest rate risk metrics.
• Developing Champion and Challenger models using different time series forecasting methodologies to comply with SR 15-18 guidance.
• Development of Benchmark models using Industry data series to meet regulatory requirements
• Manage the model life-cycle from first-line of defense perspective and participate in Segmentation, Risk Identification, overlay discussions with Businesses and Finance teams.
• Responsible for understanding changes to quantitative requirements published by MRM in Model Testing Guidance and presenting the key changes to senior model development leads. Also, be a champion in addressing observations raised by MRM and Internal Audit in a quantitative manner by thinking out-of-box.
• Responsible for writing model development documentation and partner with Model Risk Management (MRM) to address their feedback.
• Contribute to stakeholder conversations with Businesses, Finance, Treasury and Risk to seek their sign-offs on Champion models.

• Qualifications / skill sets:

• 4-6 years of relevant statistical /business experience in financial services
• Strong understanding of statistical techniques such as Ordinary Least Square regression (OLS) , Fixed-effect Panel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration .
• Understanding of Machine learning algorithms will be a plus
• Hands-on experience in programming and modeling using SAS, Python and R is preferred.
• Follow a culture of accountability and strict quality control of the data integrity and modeling process
• Ability to build key relationships with finance and business teams
• Must be able to present technical matters in a way that is meaningful to the audience

• Education:

• Masters / PhD in quantitative discipline such as Statistics, Economics or related discipline

Time Type:

• The Model/Anlys/Valid Intmd Anlyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information.
• Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
• Responsibilities:
  • Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies.
  • Supports the design, development, delivery and maintenance of best-in-class Risk programs, policies and practices for Risk Management.
  • Reviews institutional or retail analytics and Models and other documents to ensure compliance with various regulatory and legal requirements.
  • Identifies potential risks and escalates for further review.
  • Handles preliminary investigations, assists with reconciliation procedures and prepares routine correspondence.
  • Creates and maintains reports for control, tracking, and analysis purposes and ensures appropriate and secure retention of documents.
  • Works with more senior staff in investigating and responding to customer and operational complaints.
  • Interacts and works with other areas within Risk Management, 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:
  • 5+ years experience
  • Proficient in Microsoft Office with an emphasis on MS Excel
  • Consistently demonstrates clear and concise written and verbal communication skills
  • Self-motivated and detail oriented
  • Demonstraed project management and organizational skills and capability to handle multiple projects at one time
  Education:
  • Bachelor’s/University degree or equivalent experience

Time Type:

Cash types include, but are not limited to, equities, fixed income, OTC derivative positions (swaps, swaptions, FXs, and synthetics) and collateral.

The roles and responsibilities will include actively managing risk and exposure for our clients by ensuring the investment book of record is reconciled with external record holders daily (custody / fund accounting etc.). The role requires an understanding of the mechanics of the reconciliation process, exception management, client service, troubleshooting issues, driving innovative enhancements, data analysis, maintaining documentation, assisting management in leading processes, and recommending improvements to ensure efficient and accurate processes.

Responsibilities:

• Manage a team of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
• Identify opportunities to implement process improvements and recommend system, service, and process enhancements including leading and evaluating system testing
• Coordinate staff assignments to achieve optimal effectiveness through assessment of business requirements and staff skill sets and development needs
• Build and maintain relationships with internal and external clients, and serve as point of escalation of complex customer issues
• Perform discovery and due diligence with clients and visits regarding service quality measurement
• Manage the Risk and Control agenda including audits, interfacing with internal and external auditors, and identifying process gaps
• Work closely with senior management on identifying opportunities for cost saves, full-time equivalent (FTE) reduction, and optimization
• Work closely with Sales and CEs on client management and service improvement initiatives
• 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.
• Possess strong knowledge in Reconciliations process & applications

Process Management:

• Timely and accurate delivery of all functions performed within concerned team
• Design & implement Service Level Agreements with Internal & External teams.
• Work closely with Fund Accounting leads / teams across all the global locations to provide necessary support.
• Setup regular governance forums with all stakeholders
• Design & implement oversight & escalation metrics

Qualifications:

• 10+ years of relevant experience
• Chartered Accountant/CFA/MBA / Degree in Finance is preferred
• Extensive knowledge of funds services and process & experience in managing operational delivery will be an advantage.
• Demonstrated leadership and management skills
• Ability to work in a team-oriented environment
• Consistently demonstrates clear and concise written and verbal communication
• Demonstrated Subject Matter Expert (SME) knowledge in related area

Education:

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

Time Type:

Comprehensive Capital Analysis Review (CCAR) is an annual regulatory submission to US Federal Reserve Board (FRB). It is used to ensure that institutions have robust, forward-looking capital planning processes that account for their unique risks and sufficient capital to continue operations throughout times of economic and financial stress. As part of CCAR, the Federal Reserve evaluates institutions' capital adequacy, internal capital adequacy assessment processes, and their plans to make capital distributions, such as dividend payments or stock repurchases.

Responsibilities:

• Development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes. This includes the calculation of Net Interest Income (“NII”), Non-Interest Revenue (“NIR”), Interest Rate Exposure (“IRE”), and other associated interest rate risk metrics.
• Developing Champion and Challenger models using different time series forecasting methodologies to comply with SR 15-18 guidance.
• Development of Benchmark models using Industry data series to meet regulatory requirements
• Manage the model life-cycle from first-line of defense perspective and participate in Segmentation, Risk Identification, overlay discussions with Businesses and Finance teams.
• Responsible for understanding changes to quantitative requirements published by MRM in Model Testing Guidance and presenting the key changes to senior model development leads. Also, be a champion in addressing observations raised by MRM and Internal Audit in a quantitative manner by thinking out-of-box.
• Contribute to model convergence initiatives as part of firm’s Transformation journey for different businesses. Responsible to explain model results to front-office / FP&A teams during quarterly model runs under different scenarios provided by Economic Scenario Group.
• Responsible in seeking sign-offs on final selected models from key stakeholder such as Business heads, FP&A head, Treasury and Risk.
• Responsible for writing model development documentation and partner with Model Risk Management (MRM) to address their feedback.

Qualifications / skill sets:

• 6-8 years of relevant statistical /business experience in financial services
• Strong understanding of statistical techniques such as Ordinary Least Square regression (OLS) , Fixed-effectPanel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration .
• Understanding of Machine learning algorithms will be a plus
• Hands-on experience in programming and modeling using SAS, Python and R is preferred.
• Follow a culture of accountability and strict quality control of the data integrity and modeling process
• Ability to build key relationships with finance and business teams
• Must be able to present technical matters in a way that is meaningful to the audience

Education:

• Masters / PhD in quantitative discipline such as Statistics, Economics or related discipline

Time Type:

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The Position within Global Consumer Risk Management of Citi for CCAR/DFAST/CECL and other stress testing regulations for stress loss model development for the secured portfolios.This position within Global Consumer Banking will develop CCAR/DFAST stress loss models for secured portfolios (e.g., Home Equity, Mortgage etc.). The responsibility includes but not limited to the following activities:

• Obtain and conduct QA/QC on all data required for stress loss model development

• Develop segment and/or account level 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 for regulatory agencies on all regulatory models built

Advanced Degree (Masters required or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, Quantitative Finance etc. MBA s should apply only if they are interested in career in specialized quantitative risk management discipline.

• Role involves strong programming (SAS, R, Matlab etc) and quantitative analytics (regression, time series, decision tree, linear/nonlinear optimization etc) skill.

• 2-4 years analytic experience

• Experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses

• Experience in model development or (risk/marketing)- credit scorecard development, Basel modeling, stress loss preferred or credit policy analytics

• Experience in end-to-end modeling 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, & model production implementation)

• Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences

• Expected to work with moderate supervision and guidance

• Work as an individual contributor

Time Type:

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Innovate and generate new ideas, concepts, and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions and status quo. Escalate identified risks and sensitive areas in terms of methodology and processes. Think outside the box and look for new methods to constantly improve the effectiveness and efficiency of the AML Detection, Monitoring and Operations systems and processes used in Citi. Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring.

Responsibilities:

• The scope of work includes all aspects of analysis performed by the team within different projects: Segmentation & Clustering development and review, AML Scenario development and enhancement, Threshold Tuning, Outlier analysis, Initial Thresholds setting, Case Risk scoring model development and model performance review, Tactical Tuning tasks depending on current needs and project plans.

• Strengthen AML knowledge, Process Governance & Controls. Support Regulatory exams, Internal Audit, Compliance Assurance test, Self-identified issues / findings. Identify, assess, actively manage, and control the risks that could come from our business, operational and organizational decisions.

• Generate new ideas, concepts, and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions. Escalate identified risks and sensitive areas in terms of methodology and processes.

• Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring Operations.

• Talent Management: Manage career progression for the team. Influence organizational policies on Talent management. Effective Performance Management as per goals and Leadership principles

• Teamwork: Manage initiative across the AIM. Establish a structured interaction model with the partners.

• Should have prior team management experience.

Qualifications:

• 12+ years of experience in Financial Services / Analytics Industry
• Prior experience in AML, Mantas, or any other AML Transaction Monitoring systems.
• Prior experience in AML analytics – AML Scenarios development, Threshold tuning, Segmentation, Clustering, Customer Risk scoring model development, Random Client Analysis
• Strong Statistical modelling, Data Analytics, analytical aptitude, and logical reasoning ability
• Knowledge of SAS, SQL, Python, EAP, and complex data sources
• Prior experience in supporting audits and reviews.
• Ability to effectively present and communicate, both orally and in writing, through all levels of the organization.
• Self-motivated with the ability and maturity to make decisions in the absence of detailed instructions,
• Methodical analysis and problem-solving skills.
• Able to coordinate and deal with various level and conflicting time demands.
• Understanding of technical requirements, ability to communicate with Technical Support
• Strong process & project management skill including identification and escalation of risks.
• Strong people management skills.
• Ability to work on compiling priorities and effectively multi-task.
• Initiative, creativity, and attention to detail are essential.
• Self-motivated with high desire of self-development and learning.
• Master’s degree in statistics / mathematics / technical science

Time Type:

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