Modeling Specialist I
Summary
Builds and refines credit-risk models using Python, advanced statistics, and ML to help clients make better lending and fraud decisions.
Company Description
Serasa Experian is the first and largest Datatech in Brazil. We are a leader in intelligence solutions for risk and opportunity analysis, focusing on credit journeys, authentication, and fraud prevention. With cutting-edge technology, innovation, and the best talent, we transform the uncertainty of risk into the best decision, helping people achieve their dreams and companies of all sizes and segments to prosper.
We have 22,000 people operating in 32 countries, and every day we are investing in new technologies, talented professionals, and innovation to help all our clients maximize every opportunity. Headquartered in Dublin, Ireland, Experian is listed on the London Stock Exchange (EXPN) and is a constituent of the FTSE 100 index.
Job Description
We are looking for a professional to join our Credit Modeling Team — an environment where data, technology, and business go hand in hand to transform strategic decisions.
The power of data is in our DNA. It is from this that we develop analytical solutions capable of enhancing the quality and effectiveness of our clients' decisions. We use advanced statistical techniques and Machine Learning, exploring data from across the organization to build credit risk models customized to the needs of each business. These models are essential tools for our clients to optimize and maximize their decisions.
Our mission is to support clients and partners with analytical intelligence applied to business.
Key responsibilities
In your day-to-day, you will:
- Develop credit risk models using statistical techniques and Machine Learning solutions, with a focus on Python;
- Manipulate, explore, and analyze large databases using Python;
- Conduct ad hoc studies and statistical analyses to support decision-making;
- Interpret analytical results, evaluating their coherence, relevance, and impact on the business;
- Translate complex technical analyses and concepts into clear and objective insights, suitable for different audiences, including clients from various segments and internal areas.
Qualifications
We are looking for a professional who has:
- Solid experience in Python for data manipulation, analysis, and the development of statistical and Machine Learning models;
- Strong communication skills, with the ability to interact easily with internal and external clients;
- A proactive profile, with a focus on results, quality, and value delivery;
- An analytical, questioning, and curious mindset, with a continuous interest in learning, technical evolution, and identifying patterns and opportunities for improvement;
- The ability to propose solutions aligned with business strategies.
- Knowledge of GenAI will be considered a plus.
Qualifications
Qualifications
- Python
- Office Suite
- GenAI
- Analytical Reasoning
- Statistical Modeling
Additional Information
Serasa Experian is much more than you imagine. With the purpose of creating a better future by expanding opportunities for people and companies, in Brazil we are more than 4,000 people working in diverse teams and specialties. Here, every piece of knowledge and diversity complements each other, and you can work on what you love most. We are committed to building an inclusive culture and an environment in which people can balance their careers with their personal commitments and interests, valuing well-being.
We are dedicated to being one of the best and most innovative companies to work for in the country, enabling incredible experiences and careers for our people. Our strong people-first approach is recognized externally through various market certifications: we have been awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, in addition to being recognized as one of the best companies for young professionals and having a 4.6 rating on Glassdoor. Each recognition indicates that we are on the right track, providing an increasingly better work environment for our talent.
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