Data Scientist

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 23 hours ago

Vacancies: 1 Vacancy

Job Summary

About the Team

Fitch Ratings is seeking a highly motivated Data Scientist to join its Risk Research & Analytics this role you will support data-driven risk research initiatives that influence strategic decision-making for some of the worlds leading financial institutions and organizations.

As part of this team you will work with proprietary risk datasets to analyze interpret and generate insights across multiple use cases. Your contributions will directly support product development research publications and advanced analytics initiatives. This role offers exposure beyond traditional data science boundaries with close collaboration across risk management economics political risk and technology domains.

Role Overview

As a Data Scientist you will be responsible for designing developing and deploying quantitative and machine learning models that drive advanced analytics insights and AI-enabled products. You will collaborate closely with Country Analysts Industry Analysts Economists Political Scientists fellow Data Scientists and Backend Engineers to deliver scalable interpretable and production-ready solutions.

You will play a key role in enhancing Fitchs modeling frameworks particularly in the areas of risk analytics NLP-driven insights and generative AI use cases while adapting solutions to meet evolving customer and market needs.

Key Responsibilities / How Youll Make an Impact

Prototype test and implement innovative approaches to extract insights from both structured and unstructured datasets for Fitchs core clients including Corporates Banks Professional Services firms and Asset Managers.
Design build and maintain robust machine learning and data pipelines to support experimentation validation and production deployment.
Develop optimize and monitor quantitative risk models supporting analytics platforms and generative AI applications leveraging Fitchs proprietary NLP data generation processes.
Collaborate cross-functionally with Economists Industry Analysts Political Scientists Product teams and Developers to translate domain knowledge into effective analytical solutions.
Communicate model assumptions outputs and methodologies clearly to non-technical stakeholders ensuring transparency and interpretability of insights.
Contribute to continuous improvement of modeling frameworks data quality and analytical methodologies in a fast-paced collaborative environment.

Required Qualifications / You May Be a Good Fit If You Have

Strong hands-on experience querying cleaning compiling and analyzing large and complex datasets.
Practical exposure to computational social science techniques including:
- Data mining and data visualization
- Natural Language Processing (NLP) and text analytics
- Basic time-series forecasting and machine learning models
Experience developing refining validating and monitoring NLP models in production or research environments.
Proficiency in Python and R along with relevant libraries such as:
- Python: NumPy Pandas Scikit-learn PyTorch
- R: Tidyverse Caret ggplot2
Understanding of model evaluation metrics validation techniques and performance monitoring.
Ability to translate non-technical business or research ideas into well-defined analytical approaches features and model outputs.
Familiarity with experiment tracking and model management tools such as DVC Weights & Biases or similar platforms.
Demonstrated experience working with interpretable AI and explainability techniques.

Preferred (Nice to Have):

Exposure to scenario analysis stress testing simulation modeling rare event modeling or stochastic modeling.
Familiarity with data storage ingestion and access tools such as SQL APIs Selenium AWS S3 or SageMaker.

What Would Make You Stand Out

Experience working with cloud-based data and analytics platforms such as AWS Databricks or Snowflake.
Advanced degree or relevant certifications in Data Science Machine Learning NLP Statistics or related fields.
Familiarity with DevOps concepts CI/CD pipelines and production ML workflows.
Hands-on experience with model experimentation tracking and lifecycle management tools like MLflow or Weights & Biases.
Proven examples where technical solutions directly influenced business decisions or customer outcomes.
Experience working in agile fast-paced environments with cross-functional teams.

Customer-facing exposure including gathering requirements understanding end-user needs and building strong collaborative relationships.

About the Team Fitch Ratings is seeking a highly motivated Data Scientist to join its Risk Research & Analytics this role you will support data-driven risk research initiatives that influence strategic decision-making for some of the worlds leading financial institutions and organizations. As part ...