Trilogy Education partners with universities to offer programs in Web Development, Data Analytics, UX/UI Design, Digital Marketing, Cybersecurity, and Financial Technology. Our platform combines a market-driven curriculum, robust career services, and a multinational community of universities, instructors, and employers to prepare adult learners for careers in the digital economy.

 

The Job:

Trilogy Education is seeking a Financial Technology professional who has a passion for making a difference. Our students have a diverse background, from working professionals to fresh-out-of-college people, who seek to transition into careers in Financial Technology. Instructors will have a direct hand in changing the lives of our students.

Why teach with us?

Instructors with the help of Teaching Assistants; lead classroom discussions, emphasize the meta-skills and core concepts, support students in their projects and challenges, and provide feedback to students.

 

You don't have to have a ton of experience with teaching! You just have to be a lifelong learner, proven teacher or mentor, or love to help people change their lives to succeed.

 

What You Will Do:

  • Lead lectures and educational coding activities
  • Answer questions from the stage
  • Walk around the classroom during coding activities and in-class projects to assist the students, as needed
  • Upload all class content to Students Git Repository
  • Ensure that homework is graded on-time, and occasionally assist with grading

 

What makes you a great fit:

  • Bachelor's Degree
  • Minimum of 5 years of work experience
  • A positive attitude
  • Ability to deliver our lesson plans that are provided by Trilogy
  • Share your own professional experiences and industry insight with the students
  • Be able to infuse empathy, support, encouragement, and fun into the student experience

 

Proficient in the following: 

 

Financial Fundamentals

  • Financial Ratios
  • Financial Analysis

Blockchain and Cryptocurrency

  • Solidity

Financial Libraries and Tools

  • NumPy
  • SciPy
  • Ffn
  • Quantopian

Machine Learning Applications in Finance

  • Algorithmic Trading
  • Linear Regression
  • Scikit-learn
  • Financial Modeling
  • Forecasting

Financial Programming

  • Python 3
  • Pandas
  • Matplotlib
  • API Interactions
  • Amazon Web Services
  • SQL

 

Logistics:

  • 24-week program
  • Mon/Wed/Sat OR Tue/Thu/Sat Schedule
  • Weekday Classes: 5:45pm - 10pm (includes office hours and break)
  • Saturday Classes: 9:30am - 2:30pm (includes office hours and lunch break)

 

Pay is commensurate with experience for this contract role.

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