Analista de Modelagem Pleno
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Analista de Modelagem Pleno based in Brazil.
This role offers the opportunity to work at the intersection of data, technology, and business strategy, developing analytical solutions that support smarter decision-making.
You will contribute to the creation of advanced credit risk models using statistical techniques and Machine Learning approaches.
The position involves working with large datasets, extracting insights, and transforming complex analyses into actionable recommendations.
You will collaborate with different stakeholders, helping translate business challenges into effective data-driven solutions.
The role combines technical expertise, analytical thinking, and communication skills to generate measurable business impact.
You will join an innovative environment where data intelligence is used to improve processes and create value for customers and partners.
Accountabilities:
As a Analista de Modelagem Pleno, you will be responsible for developing and improving analytical models that support strategic business decisions. You will work closely with data, technology, and business teams to ensure models are accurate, relevant, and aligned with organizational objectives.
- Develop credit risk models using statistical techniques and Machine Learning methodologies, with a strong focus on Python-based solutions.
- Manipulate, process, and analyze large datasets to identify patterns, trends, and opportunities for improvement.
- Conduct ad hoc analyses and statistical studies to support strategic decision-making.
- Evaluate analytical results, ensuring consistency, relevance, and business impact.
- Translate complex technical concepts and analytical findings into clear insights for different audiences, including internal teams and external stakeholders.
- Contribute to the continuous improvement of modeling methodologies, analytical processes, and data-driven solutions.
- Collaborate with multidisciplinary teams to deliver high-quality analytical products that address business needs.
- Solid experience with Python for data manipulation, analysis, statistical modeling, and Machine Learning development.
- Experience developing analytical models, preferably focused on credit risk or financial data.
- Strong knowledge of statistical concepts and analytical methodologies.
- Ability to work with large datasets and extract meaningful business insights.
- Strong communication skills, with the ability to interact effectively with internal and external stakeholders.
- Proactive approach, strong ownership mindset, and focus on quality and results.
- Ability to explain technical analyses and recommendations in a clear and accessible way.
- Experience working in collaborative, data-driven environments.
- Competitive salary package aligned with market standards.
- Flexible work environment designed to support work-life balance.
- Opportunities for professional growth and career development.
- Access to learning resources, training programs, and technical development initiatives.
- Inclusive and collaborative culture that values diversity and innovation.
- Opportunity to work on impactful data and analytics projects with real business applications.
- Benefits focused on employee well-being and long-term professional development.
Requirements:
The ideal candidate has a strong analytical background, experience with data modeling, and the ability to connect technical solutions with business objectives. A proactive mindset, communication skills, and a focus on delivering value are essential for success in this role.
Benefits:
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1