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Data Scientist (Risk)

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Fluency in Python and SQL, Proficient in ML libraries like Scikit, PyTorch, TensorFlow, Experience with Google Cloud platform, Solid Data Visualization skills, Strong analytical and detail-oriented mindset.

Key responsabilities:

  • Develop and optimize machine learning models to detect and prevent fraud
  • Analyze data and build predictive models for risk management
  • Extract meaningful insights from large-scale datasets
  • Implement data-driven strategies to enhance risk processes
  • Collaborate with multidisciplinary teams on risk management strategies
CloudWalk, Inc. logo
CloudWalk, Inc. Fintech: Finance + Technology SME https://www.cloudwalk.io
201 - 500 Employees
See more CloudWalk, Inc. offers

Job description

If you have fallen and risen, if you have broken and fixed, if you have dreamt and built, then you have grit. Then we speak the same language. Welcome to the Wolfpack.

About CloudWalk:
We are one of the fastest growing fintechs on the planet. We kick ass. A unicorn, with millions of happy customers, a hardcore team, and hundreds of millions in funding and revenue. But not your typical startup.
We build and learn, fast, and we want the hackers, the artists, the crafters - join the Wolfpack!

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 expect you to have the curiosity of a child with the responsibility of a grown-up.
  • Communication skills. You should be able to communicate effectively with multiple teams.
  • Ability to communicate and debate in English and Portuguese.


  • Nice-to-have skills:
  • Experience with financial or payment industry.
  • Knowledge of distributed systems and parallel computing.
  • DevOps practices: Understanding DevOps practices, including continuous integration, continuous deployment, and containerization.


  • Recruiting Process Outline:
  • Online technical assessment
  • Technical Interview
  • Cultural Interview.

  • If you are not willing to do an online-quiz, please do not apply.
    Diversity and Inclusion: 
    We believe in social inclusion, respect and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability or education.

    Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Industry :
    Fintech: Finance + Technology
    Spoken language(s):
    EnglishEnglishPortuguese
    Check out the description to know which languages are mandatory.

    Other Skills

    • Detail Oriented
    • Collaboration
    • Analytical Skills
    • Verbal Communication Skills

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