
Empowering financial wellness through earned wage access
Rain is a fintech company based in Oakwood, Los Angeles, CA, that provides employer-sponsored financial wellness solutions. Backed by Clear Haven Capital, Rain has raised $153.6 million in Series A funding to help employees access their earned wages before payday, reducing reliance on high-interest ...
Rain offers a flexible benefits package tailored to individual needs, remote work options, and a hybrid model for Nashville-based team members. Employ...
Rain's culture is centered around alleviating financial stress for employees, promoting financial wellness through innovative solutions. The company v...

Rain • New York, NY
Rain is hiring a Senior Data Scientist to develop risk mitigation solutions for fraud detection. You'll leverage machine learning and data analysis to enhance transaction monitoring. This role requires expertise in Python and SQL.
You have 5+ years of experience in data science, particularly in fraud risk management — you've developed and implemented machine learning models that effectively mitigate risks and enhance customer experiences. Your strong analytical skills allow you to interpret complex datasets and derive actionable insights that drive business decisions.
You are proficient in Python and SQL — you have a deep understanding of data manipulation, statistical analysis, and model deployment. Your experience with machine learning frameworks enables you to build robust models that can adapt to evolving fraud patterns.
You thrive in collaborative environments — you enjoy working closely with cross-functional teams, including engineering and product management, to ensure that risk strategies align with business objectives. Your communication skills allow you to present complex findings in a clear and concise manner to stakeholders.
You are passionate about the fintech industry and understand the unique challenges it presents — you stay updated on the latest trends in fraud detection and risk management, and you are eager to apply innovative solutions to real-world problems.
Experience with cloud platforms such as AWS or GCP is a plus — you understand how to leverage cloud technologies for scalable data processing and model deployment. Familiarity with data visualization tools can enhance your ability to communicate insights effectively.
As a Senior Data Scientist at Rain, you will lead the development of sophisticated risk mitigation solutions — your primary focus will be on enhancing transaction monitoring systems to detect and respond to fraud in real-time. You will design and implement machine learning models that analyze transaction data and identify potential fraud vectors.
You will collaborate with the fraud risk management team to create alerts and risk rules that streamline fraud detection processes — your insights will directly impact the customer experience by ensuring low-friction interactions while maintaining security.
You will conduct thorough analyses of transaction data to identify trends and patterns that inform risk strategies — your findings will help shape the roadmap for new product features and enhancements.
You will mentor junior data scientists and contribute to their professional development — sharing your knowledge and expertise will foster a culture of learning and innovation within the team.
At Rain, you will be part of a dynamic team that is shaping the future of payments — we offer a collaborative work environment where your ideas can directly influence our product roadmap. You will have opportunities for professional growth and development as we continue to expand our offerings in the fintech space.
We believe in a healthy work-life balance and provide flexible working arrangements — our team enjoys various wellness benefits, including health and fitness reimbursements. You will also have the chance to participate in team summits that strengthen relationships and foster a sense of community.
Join us at Rain and be part of a mission-driven company that is committed to creating inclusive and efficient payment solutions — your contributions will help us build a borderless financial future.
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