CloudWalk
fintech
DataScientist(Risk)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist (Risk) at CloudWalk. Skills: Machine learning, Risk management, Data science, Fraud detection. Develop machine learning models. Optimize machine learning models”
Industry & Context.
Analytical skills; Attention to detail; Accuracy
What They're Looking For.
Must Have
Fluency in Python, Fluency in SQL, Solid Data Visualization skills, analytical skills, Communication skills
Nice to Have
Experience with financial or payment industry, Knowledge of distributed systems, Knowledge of parallel computing, Understanding DevOps practices
What You'll Do.
Develop machine learning models
Optimize machine learning models
Build predictive models
Implement data-driven strategies
Enhance risk management processes
Handle large-scale datasets
Extract meaningful insights
Develop sophisticated algorithms
How You'll Work.
Team & Collaboration
Multidisciplinary team; Risk analysts; Data scientists; Software engineers; Multiple teams
Communication Scope
English; Portuguese
Full Job Description
## Description About CloudWalk: We are not just another fintech unicorn. We are a pack of dreamers, makers, and tech enthusiasts building the future of payments. With millions of customers and a hunger for innovation, we're now expanding our neural network - literally and metaphorically. About The Team: The Risk Team is responsible for building the defense layer that keeps CloudWalk, its merchants, and users safe. We keep our ecosystem healthy by tracking down malicious activity and maintaining regulatory compliance while providing the best user experience. You will be part of a multidisciplinary team comprising risk analysts, data scientists, and software engineers, working collaboratively to enhance our risk management strategies. About The Job: As a Data Scientist on our Risk Team, your role is crucial in developing and optimizing machine learning models to detect and prevent fraud. You will be a key player in analyzing data, building predictive models, and implementing robust data-driven strategies to enhance our risk management processes. You will bridge the gap between theoretical data science and practical, scalable solutions in the fintech sector, with a specific focus on risk assessment and mitigation. Your work will involve handling large-scale datasets, extracting meaningful insights, and developing sophisticated algorithms to protect our ecosystem. ## What You'll Need to Succeed Fluency in Python and SQL. Proficient in ML libraries like Scikit, PyTorch , TensorFlow, etc. Experience with cloud-based services like the Google Cloud platform. Solid Data Visualization skills to create charts and dashboards. Strong analytical skills, ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Detail-oriented with a strong research mindset. As a member of a fully remote and distributed team, you are expected to complete tasks autonomously, being highly collaborative and self-driven. We e
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