Risk Model Development Intermediate Analyst

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Job Overview

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.
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• Responsibilities: Qualifications: Education:
  • 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.
  • 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
  • Bachelor’s/University degree or equivalent experience

Citi’s Risk Modeling Solutions department is responsible for the development, delivery, and monitoring of all credit risk models across Citi’s consumer lending portfolios globally.  These models span two core activities; granting and managing credit to individual customers and delivering loss forecasts for stress testing (ex. CCAR), loan loss reserving (ex. CECL), and business planning.   The Model/Anlys/Valid Intmd Anlyst role sits within the Global Mortgage Regulatory Model Development team and specifically part of the APAC Secured Regulatory Champion Models team and is responsible for developing champion/benchmark risk models for Citi's international and U.S. secured portfolios for CCAR, CECL, ICAAP, IFRS9, climate risk, and other regulatory/internal usage. 

Responsibilities:

Position responsibilities include but not limited to the following activities:

• Participate in building champion/benchmark models for CCAR, CECL, IFRS9, and other regulatory/internal purposes for Citi's international and U.S. secured portfolios.
• Under minimal manager's guidance, perform data cleansing and analysis, identify static and dynamic portfolio drivers and macroeconomic drivers for portfolio risk performances, build PD/EAD/LGD models and conducting statistical analysis and backtests, perform forecast sensitivity analysis and model robustness tests, and provide model implementation and validation support.
• Create Model Development Document for validation and supporting Annual Model Reviews and Ongoing Performance Assessment of implemented models.
• Participate in model revalidation, model change and related documentation and validation support efforts.
• Ensure timely completion of assigned projects with high quality.
• 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/IFRS9/Climate models built

Qualifications:

• 5+ years of experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, or econometric modeling and in-depth knowledge on the use of statistical models to solve business problems (years of experience in Master or PhD programs of Statistics, Economics, Finance, Biomedical Engineering or other highly quantitative discipline counts).
• Experience of end-to-end credit risk modeling highly preferred.
• Experience of CCAR and CECL preferred.
• Strong programming (SAS, SQL, Python, R, etc.) and quantitative analytics (regression, time series, decision tree, linear/nonlinear optimization etc.) skills preferred.
• Strong communication skills required to translate model design, specification and performance details to technical and non-technical audiences.

Skillset:

• Quantitative Analysis
• Statistical Modeling
• Loss forecasting/Loan Loss Reserve Modeling/Econometric Modeling
• Credit Risk Modeling
• CCAR/CECL Regulations
• SAS, SQL, Python, R

Education:

• Master’s/University degree or equivalent experience in Economics, Mathematics, Statistics, Finance of other quantitative discipline
• PhD degree in Statistics, Economics, Finance, Biomedical Engineering or other quantitative discipline preferred.

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Job Family Group:

Risk Management

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Job Family:

Model Development and Analytics

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Time Type:

Full time

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Most Relevant Skills

Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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