Hire the Top 2% of
Remote Actuarial modelling Developers
in Brazil

Samuel S.

Vetted Actuarial modelling developer in Brazil (UTC-3)

As a Data Engineer with over 3 years of experience, I've led multiple data migration projects and developed robust ETL pipelines using AWS and PySpark. I've improved data processing efficiency by implementing automated workflows and achieving 98% code coverage in testing. Currently working in the automotive industry, I integrate AI/ML solutions while collaborating with international teams. With a strong background in Computer Science, post-graduate studies in AI / Big Data, and an MBA in Software Engineering, I combine technical expertise in Python, SQL, and cloud technologies with a passion for building scalable data solutions.

Ana S.

Vetted Actuarial modelling developer in Brazil (UTC-3)

Business administrator with 6 years of experience in Business in the financial market, the last 4 years focused on solving business problems with application of statistics in data analysis. I like to understand and solve problems. I have a holistic and strategic vision. I'm curious, I'm always learning something new and I have pro activity, self leadership and interpersonal communication with great public speaking. My experiences are: • Knowledge in exploratory and descriptive statistics. • Knowledge in SQL, R,Scala, Pyspark Python. (pandas, numpy). • Application of best practices in data visualization with storytelling. • Critical and logical thinking, analysis frameworks, problem summarization, good communication and public speaking. • Identification and mapping of short, medium and long term needs. • Acting and participating in the product development process as a member of the scrum team and squads. • Survey of business hypotheses and A/B testing proposals to validate the hypothesis. • Knowledge of the main indicators of digital products (Churn, LTV, cohort, CAC, etc) and creation of custom metrics. • Identification of opportunities for new projects and support for decision making in the business area. • Clarity of the pros and cons of each analysis, regardless of whether all necessary data is available

Stéfane L.

Actuarial modelling developer in Brazil (UTC-3)

Bachelor of Statistics and Master of Biostatistics. Expertise in the areas of credit risk and business intelligence, as well as statistical consultancy in research in the areas of health, agricultural, biological and social sciences. Domain of statistical tools such as data mining, decision trees, development of predictive models, statistical modeling, customer profile analysis, process automation algorithms, programming of interactive intelligence panels (BI's), behavioral monitoring of customers, decision making, among others.

Sérvulo J.

Actuarial modelling developer in Brazil (UTC-3)

I am a senior software developer with over 15 years of hands-on experience in designing and developing applications and solutions for Previ, the largest pension fund in Brazil. I stand out for my analytical skills and high adaptability, with a solid track record in all phases of software projects. My work history involves delivering high-quality applications that always meet business requirements, budgets, and timelines. I have advanced skills with cutting-edge programming tools and the ability to utilize emerging technologies. As a self-taught professional, I am passionate about continuous learning and growth. My technical knowledge includes requirements gathering, ER and relational models, physical models, application design, development, support, and maintenance using Java, OOP, MVC, JSF, JPA, JSP, CDI, JAX-RS, Java EE, Rest API, Rest, Oracle Database, Oracle SQL & PL/SQL, Oracle Forms & Reports, Spring Boot, Quarkus, Angular, as well as knowledge in ServiceNow, Salesforce, and Agile/Scrum methodologies.

Hudson S.

Actuarial modelling developer in Brazil (UTC-3)

Senior Data Engineer with over 8 years of experience in data engineering and solution architecture for Big Data, data lakes, and cloud computing (AWS, Azure, GCP). Extensive experience with Snowflake, Databricks, and Spark, optimizing data pipelines and storage scalability to achieve significant improvements in efficiency and processing speed. Proven expertise in technical leadership and data strategy implementation, resulting in cost reductions exceeding 50% and productivity gains of up to 5x. Driven to transform data into valuable insights and collaborate with teams to develop robust, scalable data solutions.

Alexandre M.

Actuarial modelling developer in Brazil (UTC-3)

In 2020 I started in the big data world, took a data engineer course at the Data Science Academy and then I've been working with data lake modeling and cloud implementations. • Cloud AWS platform: S3, Lambda, Athena and Glue • Azure platform: SQL, Azure Data Factory, Databricks and Synapse • Open source platform: Hadoop/Hive and Spark • Experience with Python and PySpark • Experience with GitHub and Azure DevOps • Experience with dimensional modeling Between 2018 and 2019 I worked on the customization and implementation of the Ecomex system, a foreign trade suite. The main focus of the defined activities is related to the implementation of the RECOF special regime. Working with the customer involves identifying gaps, defining solutions, development, deployment and testing. I also participated in the construction of several interfaces for the integration of SAP with Ecomex and in the develpment of cube information to generate indicators. • Experience with ERP Oracle EBS, Form Builder, PL/SQL and SAP I worked with the development of on-line biodiversity information systems from 2000 to early 2018. As part of the team at CRIA (Centro de Referência em Informação Ambiental) I worked in the development and I became the key person responsible for the speciesLink network (splink.cria.org.br), a distributed information system that integrates data from biological collections. The network is serving about 10 million records and is constantly growing. Also as part of the speciesLink network activities, I was responsible for the development of data cleaning tools, network indicators, and a number of applications that facilitate data retrieval and visualization. • Experience with Perl and Visual Basic • Experience with relational databases, SQL and PL/SQL • Experience with GIS software ArcView, ArcMap, Envi, AutoCad and Openlayers • Experience with Linux and Windows

WILKINSON L.

Actuarial modelling developer in Brazil (UTC-3)

I'm Wilkinson Varela, a Data Engineer with a passion for all things IT. With a background in Web Systems Development, I'm constantly seeking new challenges and learning opportunities in this ever-evolving field. My professional journey has been focused on working with data and turning it into valuable insights. I'm truly enthusiastic about data analysis, manipulation, and storage. I have experience in data infrastructure projects, implementing data pipelines, and building scalable solutions for complex problems. With an analytical mindset and a solution-oriented approach, I strive to follow best practices that ensure data quality and integrity. Being a lover of technology, I enjoy exploring the latest tools and technologies in the world of data. I'm always seeking self-improvement and expanding my knowledge in areas such as Big Data, and Cloud Computing. Furthermore, I'm a collaborative individual who thrives in team environments and enjoys sharing knowledge with colleagues. I believe that idea exchange and collaboration are key to driving innovation and achieving exceptional results.

Daniel C.

Vetted Actuarial modelling developer in Brazil (UTC-3)

With over 17 years of expertise in computational system analysis, research, and development, I have a strong background in backend web technologies, including Python, Golang, Rust, and TypeScript (NodeJS). I have delivered scalable solutions within microservices architectures. Nowadays, I am focused on advancing my knowledge in Artificial Intelligence, concentrating on Model Selection, Hyperparameter Tuning, and Reinforcement Learning to drive cutting-edge solutions.

Edson P.

Vetted Actuarial modelling developer in Brazil (UTC-3)

With over 25 years of experience in the software industry, I am a data modeling expert who facilitates cutting-edge solutions for data integration and analytics. I have developed and honed my technical skills as a data modeler, data architect, PL\*SQL developer, SQL developer, and project manager, working with diverse and complex data sources such as databases, flat files, Oracle, and others. Currently, I am providing data modeling and ETL/ELT services to Nestlé USA through Code 17 TEK and Tiger Analytics, two leading data analytics companies. My role involves creating and managing structured data for the integration of several different applications and enabling the business to make evidence-based decisions. In previous positions, I have led and supported large data projects in various fields such as lubes, energy, fare management, GPS/GPRS tracking systems, CRMs, construction, and others. I have also acquired good communication skills, working with teams around the globe such as Germany, Vienna, Abu Dhabi, Canada, India, and the US.

Lawrence F.

Vetted Actuarial modelling developer in Brazil (UTC-3)

I'm a Data architect, with past experiences in Business Intelligence and Data Engineering on leading companies, such as IBM, B2W, and Nestlé. I've being working for 5 years on Big Data projects, using multiple clouds (GCP, AWS, and Azure) and architectures (Data Warehouses/Lakes/Lakehouses, Modern Data Platforms, Data Mesh). Currently, I'm the leader of Debussy, an opinionated open-source data architecture and engineering framework that integrates Airflow, Spark, and dbt.