AVP- CCAR Unsecured Model Development- C12

Citi; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A financial institution in Singapore seeks a candidate for developing CCAR/CECL models for unsecured portfolios. The role requires an advanced degree and at least 7 years of experience in quantitative analysis, alongside proficiency in SAS and SQL. You will ensure data quality, conduct model validation, and collaborate with teams across functions. This is a full-time position in Risk Management with impactful duties.

Qualifications

• Advanced Degree (Bachelors required, Masters / PhD preferred) in relevant field.
• 7+ years of experience in quantitative analysis and statistical modeling.
• Proficiency in SAS, SQL, Oracle, and Microsoft tools.

Responsibilities

• Develop CCAR/CECL models for unsecured portfolios.
• Ensure quality of data for model development.
• Collaborate with cross-functional teams and regulatory agencies.

Skills

Analytical Thinking

Business Acumen

Data Analysis

Risk Identification and Assessment

Statistics

Education

Advanced Degree in related quantitative discipline

Tools

SAS

SQL

Oracle

Microsoft Excel

Microsoft PowerPoint

Job description

The position within USPB Risk involves developing CCAR/CECL models for unsecured portfolios such as credit cards and installment loans. Your responsibilities will include obtaining and ensuring the quality of all data needed for CCAR/CECL model development, creating segment and/or account level stress loss models, conducting necessary tests like sensitivity and back-testing, and validating/recalibrating models annually with the latest data. Additionally, you will be required to deliver thorough model documentation and collaborate closely with various cross-functional teams, regulatory agencies, and business stakeholders.To qualify for this role, you should possess an Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or a related quantitative discipline. You should have at least 7 years of experience in quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and econometric modeling of consumer credit risk stress losses. Experience with unsecured or secured products dynamics is beneficial, and active involvement in various components of econometric modeling-driven stress loss processes is essential.Furthermore, candidates should have proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel, and PowerPoint, as well as the ability to effectively communicate technical information to both technical and non-technical audiences. The role also involves mentoring/managing a small team of 1-3 members.This full-time position falls under the Risk Management job family group, specifically in Risk Analytics, Modeling, and Validation. Key skills required for this role include Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, and Statistics.For additional skills and information, please refer to the job description or contact the recruiter directly.,

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