דרושים Officer- Ccar/ppnr Model Developer 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:

Responsibilities:

• Responsible for capturing, scrubbing and cleansing the Corporate Actions Data for producing the Golden Record on the Central Corporate Action capture platform .
• Remediates data in the Clients and Corporate action system
• Performs trend analysis and identifying root causes Implementing or suggesting solutions based on the root cause analysis
• Liaises with other teams globally to ensure data quality is remediated
• Provides a high level of customer service to our internal stakeholders
• Owns ad-hoc projects from inception through to completion
• Provides tangible metrics to Management
• 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:

• Managing various data remediation work streams Projects Knowledge
• Experience of at least 2 years in Asset servicing and corporate action process within an overall capital markets experience of 6-7 years
• Takes ownership of allocated work and is accountable.
• Able to identify, trouble shoot issues and ultimately escalate.
• Financial services related qualifications.

Education:

• Bachelor’s/University degree or equivalent experience

Additional Job Description

6-7 year experience of Corporate Actions / Asset Servicing domain/ & Fund Accounting Corporate Actions, knowledge of ISO standards. Exposure to Income events processing is desirable.

6-7 year experience of Corporate Actions / Asset Servicing domain/ & Fund Accounting Corporate Actions, knowledge of ISO standards. Exposure to Income events processing is desirable.

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:

Responsibilities:

• Collect, measure and analyse project management data. Identify, track and close project issues.
• Steering meetings & discussions to gather requirements from business stakeholders.
• Supporting solution design, testing and implementation.
• Ensure creation of project scope plan and creation of project schedule.
• Forecast project costs, track actual project costs, identify variances, and revise forecasted project costs as needed.
• Create the project quality management plan, identify quality standards and metrics to measure achievement of these standards.
• Identify project risks, perform probability and impact analysis, determine responses to risks, track risks, and execute responses as needed.
• Has the ability to operate with a limited level of direct supervision.
• Can exercise independence of judgement and autonomy.
• Acts as SME to senior stakeholders and /or other 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 judgement regarding personal behaviour, 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:

• 6 to 8 years relevant experience
• Should have very good experience around Security Pricing, e.g. Future, Option, bonds & Equites
• Experience around Capital market instruments is must.
• Bachelor’s/University degree or equivalent experience

Time Type:

This role is critical in helping to shape and drive process and technology change across the Middle Office business. Role requires strong analytical skillset in order to design, test and validate complex solutions and services for our clients and operational teams. Communication and networking skills are essential to effectively cooperate with multiple stakeholders on various seniority levels across Product, Technology, Operations and our Clients.

• Perform process analysis and design solutions in response to client or operational needs;
• Define User stories, and process flows
• Create Business case and training need assessment, operations readiness
• Deliver business requirements, prepare testing plans and execute/oversee testing;

• Co-operate closely with business stakeholders in hand with our Product, Technology partners and our clients,  whilst ensuring the right infrastructure to align our vision and strategic goals;

• Take proactive actions targeted at minimizing and mitigating implementation & projects risk;

• Challenge the status quo, display initiative and innovation in coming up with solutions;

• Perform root cause analysis of common operational problems;

• Manage client and business ad-hoc queries and requirements;

• Contribute to project plans that assess resource requirements and timescales for execution to ensure overall project timescales can be met;

• Display appropriate involvement in Department initiatives & strategic planning.

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

• At least 7 years of experience as Business Analyst in Change Management unit or in operational improvements area (e.g. Lean, reengineering programs);

• Experience of working with asset management clients on a variety of investment fund vehicles (e.g. OEICS, Segregated) or Securities Services operations;

• Thorough understanding of financial market;

• Understanding of BABOK standard and/or IIBA certification is advantageous;

• Very good command of English;

• Ability to work in fast paced environment under tight contractual deadlines;

• Capability for stepping into project management at times when required;

• Excellent communication and stakeholders management skills, with the ability to communicate to a range of audiences;
• Experience working on large migrations on-boards transformation projects and/or doing metrics on ops processes e.g. lean time in motion, root cause analysis FMEA etc

• Strong analytical skills;

• Knowledge of MS Visio, PowerBI and SQL is a definite asset.
• Data analyst competencies and advantage
• Looking for a operations BA, not technology BA.

What would you get in return?

• Competitive salary; annual salary review; discretionary annual performance bonus;

• A challenging work environment where you can collaborate with global teams & clients to contribute to critical banking applications;

• A great environment for learning new technology and tools;

• Exposure to variety of products offered on financial market such as Fund Accounting, Middle Office, Custody, Transfer Agent, Trustee and others;

• Opportunity to work in hybrid mode;

• Social benefits (e.g. private healthcare care, employee pension plan, benefit system, life insurance);

• Working in a friendly, dynamic, supportive and diverse environment – including multiple affinity and social networks & voluntary activities to engage with;

• Structured onboarding process and extensive training offering (e.g. including Udemy, Degreed);

• Opportunity to have an influence on the way you perform your tasks - our teams are constantly looking for new and better ways and we encourage all improvement ideas.

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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