This is an exciting and rare opportunity to join a small yet well-capitalized company, on the ground floor, and prepare for a significant, aggressive scale over the next 2-3 years.

Greenbox Capital is a FinTech company with a startup feel, looking to derive business value through the adoption of advanced predictive models including Artificial Intelligence and Machine Learning paired with a unique seamless customer experience.

At Greenbox Capital, we have been providing working capital to small businesses in Canada and the USA for 10 years (launching in Australia and UK in 2023). We are applying predictive technology to large volumes of data and against a wide spectrum of business and owner data to make fast and accurate credit decisions. Speed, accuracy, and automation are causing the company to grow exponentially.

A successful candidate will be a person who is innovative and will further differentiate our financial products on the market to create more stickiness. The candidate enjoys working with many departments and wearing many hats as this person will be responsible for various projects inside the organization working with our CEO.

With our “Growth Mindset” and Inclusive Team Culture at Greenbox Capital, we embrace our differences. We are committed to furthering our culture of personal and professional growth while producing bottom line results.

Work/Life Balance:

Our team puts a high value on work-life harmony. We believe striking a healthy balance between your personal and professional life is crucial to your happiness and success.

Responsibilities:

• Enable world-class user experiences across all our products by developing, maintaining and deploying ML models Infrastructure
• Support the organization across a range of areas including experimentation, fraud, market signals, marketing, pricing, and many more
• Own the implementation of effective, robust, and reproducible machine learning pipelines for new and existing products.
• Building the pipeline to execute ML inference requests and model tuning for the company’s credit decision model for lending operations to drive profitability.
• Build and ship high-quality code, provide thorough code reviews, testing, monitoring and proactive changes to improve stability
• Building tools to automate data collection
• You will work with other software engineers to ensure that our data platform and infrastructure are scalable and reliable to be integrated with the backend system
• Provide mentorship to junior data scientists and machine learning engineers in aspects of machine learning, data and software engineering, and assist them with practical guidance, when needed

Qualifications:

• Experience in applying SOTA machine learning algorithms
• 3 years of industry experience in predictive modeling, ML engineering, or data science
• Experience with deploying, maintaining, and monitoring production level ML models
• Strong coding & software engineering background, and expertise building & modelling systems using Python, R or SQL.
• Familiarity with machine learning frameworks (PyTorch/Tensorflow/sklearn) and relevant libraries (NumPy, Pandas, matplotlib).
• Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
• Experience with data pipelines, pre-processing tools, and MLOps frameworks like MLFlow, weights & Biases etc.
• Team player, open minded, motivated, and dedicated

Education:

• Master’s or Bachelor’s in Machine Learning, Computer Science, Quantitative Finance, Statistics, or Industrial Engineering preferred;
• 3 years of experience in a Data scientist/ ML Engineer capacity.