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Coding Dojo FinTech Instructor in Remote, Washington

FinTech Instructor - This is a remote work position working overnight hours in the US to teach students in Arabia time zone


Coding Dojo is a global education technology company that offers a three-full-stack computer programming bootcamp, as well as courses on Data Science and other emerging technologies. The innovative curriculum and Learning Management System are designed to train students to become self-sufficient developers, regardless of their technical background. We also make it a mission to support underserved communities and increase diversity in the tech industry.

This position is a rare opportunity to join a rapidly growing company and make a positive impact in many people's lives. At Coding Dojo we pride ourselves on possessing a culture of execution that caters to wave makers rather than wave riders. If you're interested in joining a diverse and dynamic team who value speed, continuous improvement, measurement, focus, accountability, and always attacking the gap, you'll feel right at home at Coding Dojo.


  • Create the content/curriculum for the 12 to 14-week FinTech development program

  • Deliver instruction on FinTech and related topics

  • Facilitate group discussions, demos, and in-class remote activities

  • Follow industry trends for FinTech development

  • Play a hands-on role in curriculum development, using what you learn from working with students to make the curriculum world class

  • Gather and report on student metrics

  • Work alongside Coding Dojo's Instruction team to deliver remote training

  • Participate in professional training, so you stay fresh

  • Responsible for potential deployment with any/multiple Coding Dojo clients with the ability to flex work and tasks based on client needs and requests


  • Bachelor's degree in Computer Science or computer related field plus minimum 2 years of experience in FinTech development

  • Financial Fundamentals in Time-Series Analysis, Financial Ratios, and Financial Analysis

  • Python Programming in Python 3, Pandas, MAtplotlib, API Interactions, and JupyterLab

  • Financial Libraries and Tools like NumPy, SciPy, and Quantopian

  • Execution Algorithms, Monte Carlo Simulations, Risk-Data Aggregation, Forecasting, Financial Modeling, Modern Portfolio Theory, and Logistic Regression

  • Machine Learning using Algorithmic Trading, Random Forests, k-Nearest Neighbor (kNN), Support ZVector Machines (SVM), Linear Regression, and Scikit-learn

  • Blockchain and Cryptocurrency experience in Solidity, Ethereum, Consensus Algorithms, Transactions, Validation, Distributed Ledger, Bitcoin and Bitcoin Cash, and Mining

  • Excellent analytical, problem solving, negotiating, influencing, facilitation, prioritization, decision-making and conflict resolution skills.

  • Demonstrated experience in teaching that would include one or more areas of mentoring, industry training, online, or classroom instruction.