
About Rain
Empowering financial wellness through earned wage access
Key Highlights
- Raised $153.6 million in Series A funding
- Seamless integration with payroll systems for employers
- Offers access to earned wages before payday
- Headquartered in Oakwood, Los Angeles, CA
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 ...
🎁 Benefits
Rain offers a flexible benefits package tailored to individual needs, remote work options, and a hybrid model for Nashville-based team members. Employ...
🌟 Culture
Rain's culture is centered around alleviating financial stress for employees, promoting financial wellness through innovative solutions. The company v...
Skills & Technologies
Overview
Rain is hiring a Machine Learning Engineer specializing in Fraud Risk to develop scalable risk mitigation solutions. You'll work with Python, SQL, and machine learning frameworks to enhance fraud detection systems. This role requires experience in data analysis and machine learning.
Job Description
Who you are
You have a strong background in machine learning and data analysis, with at least 3 years of experience in developing and deploying machine learning models. Your expertise in Python and SQL allows you to manipulate and analyze large datasets effectively. You understand the intricacies of fraud detection and risk management, and you are passionate about creating solutions that enhance user experience while minimizing risk. You thrive in collaborative environments and are eager to contribute to a team that values innovation and creativity. You are comfortable working with various machine learning frameworks, particularly TensorFlow and Scikit-Learn, and you have a solid understanding of data pipelines and model deployment processes. You are proactive in identifying potential fraud vectors and enjoy the challenge of developing robust strategies to mitigate them.
Desirable
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with big data technologies. You are also encouraged to bring any experience you have with A/B testing and statistical analysis to the table, as these skills will be beneficial in refining our fraud detection models.
What you'll do
In this role, you will be responsible for designing and implementing machine learning models that detect and mitigate fraud risks across various payment channels. You will collaborate closely with the fraud risk management team to monitor transaction data and lifecycle events, ensuring that our systems are responsive and effective. Your work will involve building alerts and risk rules that leverage machine learning algorithms to enhance our fraud detection capabilities. You will also engage in continuous improvement of existing models, utilizing feedback and performance metrics to refine your approaches. Additionally, you will participate in cross-functional meetings to share insights and strategies, contributing to the overall vision of Rain's fraud risk management initiatives. Your contributions will directly impact the success of new products and services, ensuring that they are secure and user-friendly.
What we offer
At Rain, we offer a dynamic work environment where innovation is at the forefront of our mission. You will have the opportunity to work with a talented team of professionals who are dedicated to shaping the future of payments. We provide competitive compensation and benefits, including health and wellness programs, and opportunities for professional development. Our culture emphasizes collaboration and open communication, allowing you to grow into the role that aligns with your career goals. Expect team summits and off-sites that foster relationships and strengthen our collective mission. Join us in making a significant impact in the fintech space as we work towards a borderless financial future.
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