Hire the Top 2% of
Remote Quantitative Risk Modeling Developers
in Brazil

Douglas S.

Vetted Quantitative Risk Modeling developer in Brazil (UTC-3)

### **Experienced Web Developer and Frontend Engineer with more than 10 years of experience developing small and large applications, scaling, securing, rebuilding and optimizing APIs, maintaining applications with hundreds of thousands users daily and working with startups on financial, trading, e-sports, e-commerces and AI tools.** **Age:** 29yo | **Timezone:** UTC-3 I'm a self-taught coder and digital entrepreneur, I've had a journey driven by curiosity and strong passion for building cool things and solving problems. From tinkering with online games as a kid to leading successful startups, my path highlights my thirst for learning and adapting. I'm ambitious, always up for a challenge, and love learning new things. Even though I didn't formally study IT, I read a lot of books and took online courses to stay sharp. I'm confident that I can learn anything. I've worked with all kinds of companies, big and small, and even in e-sports industry. My adaptability and ability to get things done, lead teams and adding value to product have been my strengths. The team and coworkers are very important to me. I'm lucky enough to have worked with high-performance teams, so I learned to motivate and help the team to beat and surpass our goals. _**My journey is about curiosity and always learning. I've been part of projects that mattered, from startups that didn't make it to ones that really thrived. Now, I'm excited about the next adventure where I can bring my skills and experience to make a positive impact on companies and their customers.**_

Luiza S.

Quantitative Risk Modeling developer in Brazil (UTC-3)

Skilled professional with 16 years of experience with a strong backend engineering (PHP - Laravel) background, microservices and API REST development, use of Laravel resources as artisan commands, jobs, listeners and queues, design patterns and SOLID best practices attention, in addition to more than a decade of experience in data engineering, DB administration, big data extraction with ETLs flows, MySQL, Microsoft SQL Server and Postgres databases management. Experience in Scrum Master role position, with Scrum ceremonial meetings sponsorship, story users definition, backlog ownership, OKRs tracking and KPIs monitoring. Business processes analysis and BPM modeling.

Daniel C.

Vetted Quantitative Risk Modeling 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 Quantitative Risk Modeling 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 Quantitative Risk Modeling 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.

Arnoni R.

Vetted Quantitative Risk Modeling developer in Brazil (UTC-3)

Technology professional with over 20 years of experience and an entrepreneur, I have worked on various projects across different business sectors, serving as a developer, analyst, and project manager. I founded my own company, where I developed an advanced platform for the corporate communications market. This venture provided me with valuable insights into areas such as marketing and sales, serving hundreds of clients. Additionally, I collaborate with international companies in the data field, from collection to final analysis. I have a special interest and expertise in data, with several relevant certifications such as AZ-900, DP-900, PL-300, and DP-203. My professional role involves structuring data for companies, including architecture, engineering, and data analysis. I have experience with technologies such as Azure, AWS, Power BI, SQL Server, MySQL, Snowflake, Python, DWs, and DevOps. Skills Data Engineering • SQL • Data Warehousing • Power BI • Business Analysis • Snowflake • Azure Data Factory • Databricks • Data Modeling • ETL/ELT • C# • Python Check my portfolio in [https://portfolio.sigeweb.com.br/](https://portfolio.sigeweb.com.br/)

Victor B.

Vetted Quantitative Risk Modeling developer in Brazil (UTC-3)

I am a skilled Data Engineer and Architect with experience in building EDWs, data modeling, ETL processes, and implementing new technologies like Snowflake, DBT, and Airflow. My expertise includes SQL, NoSQL, and BI tools.

Matheus O.

Vetted Quantitative Risk Modeling developer in Brazil (UTC-3)

With over 6 years of hands-on experience in developing and data-related roles, including data engineering, analytics engineering, data architecture, and software engineering, I possess a wide range of practical expertise in the field both in the business and the technical sides. Specialized in cloud technologies with 4 Google Cloud Platform (GCP) certifications, I have proficiency in Python, SQL, Spark, and various infrastructure/DevOps tools like Git, Terraform, and Jenkins. With a dual degree in Computer Engineering and Electrical Engineering, it brings a strong academic foundation to complement my professional background.

Daniel M.

Vetted Quantitative Risk Modeling developer in Brazil (UTC-3)

I am a Brazilian Data Engineer with 8+ years of hands-on experience designing end-to-end solutions from ETL pipelines, algorithms, databases and architectures that leverage data to empower decision-making in different industries, mixing digital marketing with business data. Driven to solve complex challenges with advanced tools and technologies, enjoying the balance of hands-on work and team coordination to deliver impactful, collaborative solutions. With strong communication skills that bridge technical and business domains, combined with an analytical and collaborative mindset, I’ve had an active role in important projects for industry giants such as Vivo (Telefonica), Samsung, Unilever, Gerdau, Volvo, Hyundai and Reckitt Benckiser. I currently work as Head of Data Engineering at Cadastra, a global digital marketing agency.

Samuel S.

Vetted Quantitative Risk Modeling 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.