Data Scientist (Risk)

Cloudwalk

São Paulo, BR

On-siteCareer-pivot friendly

Who this role is best for

Best suited to mid-level data scientists with experience in fraud detection and risk management working in fintech.

Best fit for

Data scientists with expertise in building machine learning models for fraud detection.
— “developing and optimizing machine learning models to detect and prevent fraud”
Candidates comfortable working with large-scale datasets in a fintech environment.
— “handling large-scale datasets, extracting meaningful insights”
Professionals who can translate theoretical data science into practical solutions.
— “bridge the gap between theoretical data science and practical, scalable solutions”

Things to consider

Role involves collaboration with a multidisciplinary team including risk analysts and engineers.
— “multidisciplinary team comprising risk analysts, data scientists, and software engineers”
Focus on maintaining regulatory compliance while ensuring a positive user experience.
— “maintaining regulatory compliance while providing the best user experience”

How to stand out

Demonstrate experience in fintech risk management to align with the team's focus.
— “enhance our risk management strategies”
Showcase projects where you developed scalable fraud detection solutions.
— “implementing robust data-driven strategies to enhance our risk management processes”
Highlight your ability to work collaboratively in a diverse team setting.
— “working collaboratively to enhance our risk management strategies”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

developing and optimizing machine learning models
enhancing risk management processes

Typical background

data sciencerisk management

Skills & requirements

Required

Machine LearningData AnalysisFraud DetectionRisk Management

Preferred

FintechNeural Networks

Stack & domain

Machine LearningData AnalysisFraud DetectionTeamworkProblem SolvingFintechRisk Management

About the role

Original posting from Cloudwalk via Lever

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.

Source: Cloudwalk careers (Lever)