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
ABOUT CODING DOJO
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.