The Opportunity
We are seeking a skilled Machine Learning Engineer to develop and deploy advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
Key Responsibilities
* Collaborate with the Data Analytics and Data Engineering teams to ensure high-quality data for training and integration into production systems.
* Develop interpretable, accurate, and scalable predictive models utilizing datasets generated from cloud environments.
Additional responsibilities include coaching and mentoring fellow data analysts and engineers, ensuring efficient delivery through effective planning and prioritization, and exhibiting and fostering a strong company culture.
Requirements
* Superb programming, software, and data development skills.
* Strong communication skills, including translating technical concepts to non-technical audiences.
* High standards of quality and ability to balance short-term goals with long-term vision.
* Able to mentor and inspire others on your team.
* Adaptable and able to thrive in a rapidly changing environment.
Qualifications
* Master's degree in mathematics, statistics, economics, computer science, or a related quantitative discipline.
* Relevant work experience in Machine Learning and Statistics, preferably in the financial technology industry.
* Proven track record in building and deploying machine learning models.
* Strong knowledge of Python, SQL, and cloud services such as AWS.
* Familiarity with model registry tools, DataOps, MLOps, and DevSecOps.
* Experience working with large-scale data storage and processing solutions.
Benefits
* Competitive salary and benefits package.
* Remote work environment with flexibility and trust.
What We Offer
* A dynamic and collaborative work environment.
* Opportunities for growth and professional development.
* A chance to make a meaningful impact in the financial technology industry.