Data Scientist and Research Analyst
hace 2 días
At Moody's Investors Service, we empower organizations to make informed decisions by providing accurate and timely credit risk assessments.
About Us
We are a global integrated risk assessment firm dedicated to helping clients navigate complex financial landscapes.
The Role
The Single Name Research Team within our Predictive Analytics group is responsible for developing innovative credit risk models for public and private companies worldwide.
This role involves collaborating with a team of quant researchers to develop industry-leading models that meet the evolving needs of our clients.
Key Responsibilities
- Conduct in-depth research on measurements of credit risk and fixed-income valuation using sophisticated theoretical and empirical methods.
- Partner with clients to measure and mitigate risks in their portfolios, providing expert guidance on risk management technology.
- Collaborate with financial researchers and data analysts on research projects, driving insights that inform business decisions.
- Develop research expertise to support prototype implementation and software development activities.
- Present research findings to technical and non-technical audiences both internally and externally.
Qualifications
To succeed in this role, you will need:
- A Master's or Ph.D. in finance, economics, mathematical finance, computational finance, financial engineering, data science, industrial engineering and operations research, statistics, or a closely related field.
- Expert-level proficiency in statistical analysis and/or programming languages such as R and/or Python.
- Knowledge of quantitative methods in finance, with a strong interest in learning and applying new concepts.
- Experience working with Refinitiv, Bloomberg, CRSP, or other related financial databases is a plus.
- Familiarity with AWS, GitHub, Spark, and natural language processing is also desirable.
- Excellent written, oral, and presentation communication skills are essential for success in this role.
What We Offer
As an equal opportunity employer, we welcome applicants from diverse backgrounds and perspectives. We offer a dynamic work environment that fosters collaboration, innovation, and growth.
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