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Morgan McKinley - Tokyo

Credit Assessment Associate - Tokyo

Morgan McKinley Tokyo, Japan
Posted 8 hours ago Permanent ¥5.5M to ¥8M

Credit Assessment Associate - Tokyo

Morgan McKinley Tokyo, Japan
Launch your career in credit risk analysis and financial research with a globally recognized risk assessment organization. As a Credit Assessment Associate, you will analyze corporate creditworthiness, develop financial forecasting models, and produce investment research that supports critical business and investment decisions. Working alongside experienced analysts, you'll leverage AI-powered technologies and data-driven insights to evaluate companies and monitor capital markets, making a direct impact on clients across the globe.
Key Responsibilities
  • Develop corporate financial models, forecasting frameworks, and credit assessment analyses.
  • Prepare investment research reports, internal memorandums, and financial recommendations for stakeholders.
  • Utilize Generative AI and Large Language Models (LLMs) to improve research efficiency and data analysis.
  • Monitor economic trends, capital markets, and industry developments affecting corporate credit quality.
  • Participate in credit committee and board discussions by providing analytical insights to support corporate debt ratings and investment decisions.
Required Skills and Qualifications Experience:
  • Bachelor's degree in Accounting, Finance, Economics, or a related discipline.
  • 1-2 years of experience in corporate finance, financial analysis, auditing, management consulting, or a related field.
  • Strong quantitative modelling skills using spreadsheet applications such as Microsoft Excel.
  • Experience using Generative AI tools or Large Language Models (LLMs) to enhance analytical workflows.
  • Progress toward the Chartered Financial Analyst (CFA) qualification is highly desirable.
Soft Skills:
  • Excellent analytical and critical thinking skills with strong attention to detail.
  • Outstanding written and verbal communication skills.
  • Collaborative approach with the ability to work effectively across cross-functional teams.
  • Strong curiosity and willingness to learn emerging trends in financial markets and technology.
Language Requirements:
  • Japanese: Native-level proficiency.
  • English: Fluent written and spoken proficiency.
Preferred Skills & Qualifications
  • Progress toward or completion of the CFA designation.
  • Experience in credit analysis, investment research, financial advisory, or risk management.
  • Knowledge of capital markets, corporate financial analysis, and economic research.
  • Interest in AI, financial technology, sustainability, or private credit markets.
About the Company
Our client is a globally recognised financial analytics and risk assessment organisation providing trusted market intelligence and economic insights to businesses and financial institutions worldwide. Through advanced analytics, innovative technology, and deep industry expertise, the company helps clients make informed financial decisions while navigating increasingly complex global markets. Employees benefit from an inclusive culture, continuous learning opportunities, and exposure to cutting-edge financial technologies.
Why You'll Love Working Here
  • Competitive compensation package.
  • Flexible working environment with remote work options, flextime, minimal overtime, casual dress, and side business permitted.
  • Gain exposure to global financial markets, corporate credit analysis, and investment research.
  • Continuous professional development with opportunities to pursue advanced financial expertise.
  • Work with the latest Generative AI and Large Language Model (LLM) technologies in financial analysis.
  • Join a collaborative international organisation committed to innovation and career growth.
Don't Miss Out - Apply Now!

Job ID  JN -082026-2006379
ABOUT COMPANY
Tokyo, Japan
HR & Recruitment
As a global professional services recruitment consultancy, Morgan McKinley connects specialist talent with leading employers across multiple industrie...
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