Data Modeling Analyst III – Senior
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Job Description
Senior Data Modeling Analyst developing analytical solutions for credit risk using Python and Machine Learning. Collaborating with teams to optimize and maximize client decisions with data-driven insights.
Responsibilities:
- Develop credit risk models using statistical techniques and Machine Learning solutions, with a focus on Python;
- Manipulate, explore, and analyze large datasets using Python;
- Conduct ad hoc studies and statistical analyses to support decision-making;
- Identify improvements and propose solutions;
- Define the success metrics to be monitored and conduct experiments to validate impact;
- Interpret analytical results, evaluating their consistency, relevance, and business impact;
- Translate complex analyses and technical concepts into clear, actionable insights tailored to different audiences, including clients across segments and internal teams.
- Serve as a technical reference, supporting the development of other professionals.
Requirements:
- Strong command of statistical concepts
- Data manipulation and SQL
- Solid experience in Python for data manipulation, analysis, and development of statistical and Machine Learning models
- Knowledge of Cloud (AWS), code versioning (git/Bitbucket), and programming best practices (PEP 8)
- Analytical, inquisitive, and curious mindset, with continuous interest in learning, technical growth, and identifying patterns and improvement opportunities
- Ability to propose solutions aligned with business strategies
- Strong communication skills, comfortable interacting with internal and external clients
- Proactive profile, focused on results, quality, and delivering value
- Collaborative, with regular knowledge sharing and contributions to the team.
Benefits:
- Health insurance
- 401(k) with employer match
- Flexible working hours
- Paid time off
- Professional development opportunities
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