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Associate Director, Data Scientist
Fitch GroupNew York City, United Statesfull_timeVerifiedPosted 18 Oct 2024
💰 $140,000/yr($115,000/yr – $140,000/yr)
About the role
What We Offer:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A dynamic and inclusive work environment.
- The chance to work on impactful projects that shape the financial industry.
We’ll Count on You To:
- Develop and implement credit assessment models and scorecards using Fitch data.
- Perform data cleaning, preprocessing, and analysis to ensure data quality and integrity.
- Apply statistical and machine learning techniques to build predictive models.
- Validate and back-test models to ensure accuracy, reliability, and performance.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Communicate findings and insights to stakeholders through clear and concise reports and visualizations.
- Stay updated with the latest industry trends, tools, and techniques in data science and credit risk modelling.
What You Need to Have:
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related field.
- Proficiency in R and Python for data analysis, modelling, and visualization.
- Experience of working in financial modelling, is highly desirable.
- Strong understanding of statistical and machine learning techniques.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills with the ability to explain complex concepts to non-technical stakeholders.
- Ability to work independently and as part of a collaborative team.
What Would Make You Stand Out:
- Experience with SQL and database management.
- Familiarity with regulatory requirements and standards in credit risk modelling.
- Knowledge of other data analysis tools and programming languages.
Why Fitch?
At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.
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