Modeling Analyst

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 invest 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 and Risk Modeling Team—an environment where data, technology, and business work together 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;
• Identify improvements and propose solutions;
• Define the success metrics that need to be monitored and conduct experiments to validate impact;
• Interpret analytical results, evaluating their coherence, relevance, and impact on the business;
• Translate complex analyses and technical concepts into clear and objective insights, suitable for different audiences, including clients from various segments and internal areas;
• Act as a technical reference, supporting the development of other professionals.

Qualifications

• Strong command of statistical concepts;

• Data manipulation and SQL;

• Solid experience in Python for data manipulation, analysis, and the development of statistical and Machine Learning models;

• Knowledge of Cloud (AWS), code versioning (git/bitbucket), and programming best practices (PEP-8);

• An analytical, questioning, and curious mindset, with a continuous interest in learning, technical evolution, and identifying patterns and opportunities for improvement;

• Ability to propose solutions aligned with business strategies;

• Good communication skills, with ease in interacting with internal and external clients;

• A proactive profile, focused on results, quality, and delivering value;

• A collaborative profile with constant exchanges and contributions to the team.

• Preferred qualifications:

• Knowledge and experience in GenAI;

• Experience with variable creation;

• Experience with modeling for different response variables beyond default (e.g., behavioral indicators, relationships with financial institutions, betting, longevity, propensity, and other risk signals or customer value).

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 skill 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 where people can balance their careers with their personal commitments and interests, prioritizing 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 path, providing an increasingly better work environment for our talent.

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