Become a Credit Risk Analytics Expert
Elevate Your Career with our Credit Risk Analytics Training
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Overview
Welcome to Simplified Analytical, where we empower individuals like you to become proficient in credit risk analytics. In today's financial landscape, the ability to assess and manage credit risk is a critical skill in the banking and finance industry. Whether you're starting your career, switching career or seeking to enhance your expertise, our specialized credit risk analytics training program is designed to meet your needs and accelerate your professional growth.
By leveraging the extensive experience and deep expertise of our team, we provide unparalleled training that equips finance professionals with the knowledge and skills needed to excel in the ever-evolving landscape of consumer lending and credit risk management.
As an entry requirement, we welcome candidates from all academic backgrounds; however, a minimum of an undergraduate degree is required.
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Our team comprises highly qualified professionals with advanced degrees in finance and analytics, boasting over 50 years of collective experience. They have honed their expertise at prestigious national and multinational organizations such as Barclays, Santander, BT, FinFit, Nationwide Building Society, RBS, Lloyds, Vanquis Bank, Metro Bank, and HSBC.
Why Choose Simplified Analytical
Support with CV and interview preparation
Industry-Driven Curriculum: Learn from industry experts with hands-on experience in credit risk analytics.
Practical Case Studies: Gain practical experience through real-world credit risk scenarios and projects.
Flexible Learning:Ā Choose from live online classes and self study to fit your schedule.
Career Advancement: Receive most sort after skills in retail banking recognized by top financial institutions and employers.
Mentoring: Receive 1-2-1 mentoring from experienced professionals with hands-on experience
What You'll Learn:
1
Credit Risk Process Life Cycle: Gain insights into the end-to-end credit risk process, from data collection and analysis to decision-making and ongoing monitoring.
2
Introduction to Credit Scoring Models: Master traditional and machine learning-based credit scoring techniques.
3
Portfolio Risk Management: Explore strategies for managing credit risk across portfolios, including diversification and stress testing.
4
Regulatory Compliance: Understand Basel III and other key regulatory frameworks.
5
Risk Assessment: Learn to assess credit risk for retail, commercial, and mortgage portfolios.
6
Automated Underwriting Process: Understand how advanced algorithms and data analytics are used to evaluate borrowers' creditworthiness quickly and efficiently.
7
Data Analytics Tools: Utilize industry-standard software for credit risk analysis such as SAS, SQL, Python.