Careers

Green Check is a fintech firm delivering technology solutions for an exciting and emerging market. Our mission is to support the legal cannabis industry by connecting every cannabis business with the financial and business services that they need to grow. In this dynamically changing regulatory environment, we are proud to map the way forward, setting new standards and trends and staying focused on helping the legal cannabis industry do well while doing good.

If you’re energized by innovation and passionate about helping connect cannabis operators with financial and business services companies eager to work with them, check out our current openings below!

WHO WE ARE

Green Check is a fintech company that connects financial institutions to the legal cannabis industry. Our web-scale platform serves cannabis business owners, along with banks and credit unions, to help them overcome the challenge of establishing reliable, long term financial partnerships. Green Check automates regulatory activities, modernizing the information flow and processes that keep high-risk businesses compliant with all federal, state, and local regulations. We’re passionate about building strong, lasting relationships between these two highly regulated industries.

READY TO JOIN US?

We’re searching for a driven Data Engineer with a strong aptitude for AI/ML to spearhead the development of our predictive analytics capabilities. If you are passionate about all things data (ETL, data architecture and modeling, data and predictive analytics, data visualization) and would enjoy developing innovative data strategies and insights in the rapidly evolving legal cannabis space, then we want to talk to you! Send us a message with a copy of your resume and anything that will help us learn more about you and your goals (your blog, GitHub repo, apps, etc). 

WE’RE DEDICATED TO DIVERSITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

WHO YOU ARE

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Proven experience with data engineering tools and technologies (e.g., SQL, Python/JavaScript/R, Hadoop/Spark, AWS Cloud Platform).
  • Strong understanding of data warehousing principles, data modeling, and ETL processes.
  • Expert with SQL, including knowledge of advanced query optimization techniques, and have worked with both relational DBMS and NoSQL data stores.
  • Working knowledge of machine learning frameworks such as TensorFlow, scikit-learn, or PyTorch.
  • Specific experience building data visualizations using third party software (Tableau, Power BI, QuickSight, etc).
  • Experience working with metadata and data lineage frameworks.
  • Excellent communication and collaboration skills, strong problem solving and analytical skills, and a passion for using data to solve business problems.

WHAT YOU WILL DO

  • Design, implement, and scale robust data pipelines to collect, process, and store data from a variety of sources leveraging AWS, Apache Spark, and other big data technologies.
  • Develop and maintain efficient data models and schemas to support predictive analytics and machine learning applications.
  • Conduct exploratory data analysis to understand patterns and potential predictors. Preprocess data, handle missing values, and engineer features suitable for machine learning.
  • Research, select, and implement predictive modeling techniques (e.g., linear/logistic regression, decision trees, time series forecasting). Evaluate model performance, iterate, and optimize.
  • Implement data quality checks, validation processes, and governance frameworks to ensure the integrity, accuracy, and security of data assets.
  • Collaborate with multiple groups within the organization for data requests.
  • Translate predictive analytics results into actionable insights. Develop dashboards or visualizations to communicate findings to stakeholders.
  • Stay up-to-date on emerging data engineering and ML trends. 

JOB TYPE

  • Full-time
  • Required work authorization: United States

Ready to Apply?

Operations Associate involved in ensuring completeness, accuracy and timely processing of day-to-day banking operation

DESCRIPTION

This position will work directly with the Director of Banking Operations to ensure day-to-day banking operations are completed accurately and within required timeframes and cutoffs.

Responsibilities will include, but not be limited to the following:

  • Remote check capture processing to include review of items for red flags
  • Review and processing of customer transactions such as ACH, Wires, and Cash pickups
  • Daily Positive Pay review and authorization
  • Research of activity for customers or internal resources
  • Compliance reviews of transactions, entities, and individuals
  • Interactions with third party vendors such as armored couriers, bill payment company, or sponsor bank
  • Communicate with internal and external clients while responding to support requests or while researching activity
  • Adherence to escalation process for exception items
  • Customer record set-up and changes
  • Quality control review of maintenance completed by peers
  • Daily reconciliation of transaction activity between ledger systems

QUALIFICATIONS

The successful candidate will work well in a fast-paced, high regulated environment.

Candidates should have:

  • Critical thinking skills to analyze key information and make good judgements
  • Track record of consistency and accuracy of work
  • Experience working within a regulatory framework, particularly as it relates to protection of confidential client data
  • Ability to communicate effectively verbally and in writing
  • Knowledge of Microsoft Office/Google Workspace products

Additional consideration will be granted for:

  • Experience in the banking or financial industry
  • Knowledge in BSA/AML compliance and KYC requirements
  • Fraud monitoring experience or familiarity

SALARY

$60,000 – $60,000 per year