QUANTITATIVE FINANCE
CERTIFICATE PROGRAM

LET US HELP YOU ACHIEVE YOUR CAREER GOALS. ITS WHAT WE DO BEST.
APPLY NOW

+1,000

ALUMNI AROUND THE GLOBE

78%

HIRE RATE WITHIN THE FIRST YEAR

1000+

AVERAGE SALARY OF OUR GRADUATES

WHAT WE
DO BEST

Our quantitative finance program provides graduates with a foundation in both mathematical and analytical skills to secure jobs in the finance industries geared towards quantitative finance positions. Our program lecturers include professionals working in the finance industry from over 10 companies. They provide in-depth knowledge of the industry as well as a large professional network for students to access. At the end of the course, lecturers teach interview skills in preparation for a professional recruiting company, specializing in the finance industry, to help students secure internships and jobs.

PROVEN RECIPE FOR SUCCESS

See our proven track record in helping our students land jobs within the field of finance and how we became industry leaders in Quantitative Finance training. Book a consultation to learn more about taking your next steps

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OUR CURRICULUM

COURSE DETAILS

This is an introductory Python course targeting students with zero or little experience in programming (Python in particular). The goal is to get started with the basics of Python programming and move on to more advanced Data Science and Analytics applications.

COURSE TOPICS

This is a high-level overview of the topics covered in the course:

  • Bash command-line essentials
  • Python programming essentials
  • Data analytics libraries in Python
  • Object-oriented programming
  • Flask, Dash and webapp in Python
  • Cloud computing, an introduction
  • Introduction to Machine Learning

COURSE DETAILS

This is an introductory Statistics course targeting students with zero or little experience in Statistics and Probability Theory. The goal is to equip students with the basics of Statistics that will allow them to learn Data Science and Quantitative Finance applications.

COURSE TOPICS

This is a high-level overview of the topics covered in the course:

  • Introduction to Probability Theory
  • Descriptive Statistics
  • Statistical Estimators
  • Hypothesis Testing
  • Regression Models
  • Time Series Models
  • Survival Analysis

COURSE DETAILS

This is an introductory course to Financial Mathematics targeting students with zero or little experience in financial mathematics, but with a solid quantitative background. The goal is to understand how financial markets, derivative pricing and risk management work which will be a good start for to more advanced topics in mathematical finance areas.

COURSE TOPICS

  • Discrete and continuous stochastic processes
  • Brownian motion and Ito’s Lemma
  • Risk-neutral measure
  • Pricing using binomial trees and Black-Scholes model
  • Risk Sensitivities
  • Financial instruments and trading strategies
  • Value at Risk (VaR)
  • Introduction to bonds, swaps and discount curves
  • Credit risk modelling

OUR TEAM

DR. ALIREZA HOJJATI

DATA SCIENTIST

Dr Hojjati is a Data Scientist at Genworth Financial after moving on from Manulife Financial Corporation.

BEHNAM HAIJAN

Director Of Engineering

Director Of Engineering (ApplyProof) at ApplyBoard

DR. MARKIAN SLOBODA

VOICE OF CAPITAL MARKETS

Dr. Markiyan Sloboda finished his PhD in Computer Science from University of Guelph.

AMIRSINA ESKANDARIFAR

DATA SCIENTIST

Amirsina is a Specialist Analytics and Data Scientist at Interac Co.

Your Team

OUR RESULTS DRIVEN TRAINING MODELS

ALLOWS EACH STUDENT TO TAKE PART IN A FLEXIBLE PROGRAM TO GAIN THAT REAL WORLD EXPERIENCE THROUGH INDUSTRY BASED, TRAINING, PROJECTS & MORE.

01

ACCESS YOUR CLASS ANYWHERE
OUR LIVE ONLINE MODEL ALLOWS STUDENTS TO ACCESS THEIR INSTRUCTOR LED CLASSROOM FROM ANYWHERE IN THE WORLD

02

PART TIME & FULL TIME OPTIONS
FLEXIBLE CURRICULUM OPTIONS WITH LIVE ONLINE TRAINING FOR BOTH WORKING PROFESSIONALS AND THOSE WHO ARE NOT.

03

PROJECT BASED CURRICULUM
PROJECT BASED CURRICULUM WITH THE GOAL OF SIMULATING THE REAL WORLD WORKING ENVIRONMENT TO CREATE PORTFOLIO CONTENT.

OUR
ALUMNI

To myself, I was particularly struck by two things: How much your instructors care about your success, and How much you may learn if you work hard. And it seemed these two were intertwined. Data Science, Machine Learning and Mathematical Finance were sexy yet challenging topics to master, especially in the limited amount of time. The instructors did an amazing job in the sense you quickly get to know the basics and the anatomy of the knowledge so one knows where to go.

ANDREW DI TIAN
CHINESE MERCHANTS BANK

The best part of my Lantern experience, is you develop a sense of family in this demanding process. Indeed many of my instructors and classmates became friends, and as a Lantern alumni you are always welcome to come back home.
At this point, it is up to you to utilize the resources and achieve your goal. Classmates were often the first line of help: people in a similar level of progress may encounter similar problems. Instructors steer the wheel with you and connect you to their friends in the industry – many with job openings to fill. Now this is showtime: exhibit what you’ve got in the past few months, and more importantly demonstrate your work ethics and your ability to learn, which is crucial in these quickly evolving fields.
I was one of the fortunate ones that became aware of Lantern at its early stage. At the time, I was confused about my career – How was I going to combine my Physics PhD, CFA results and various other stuff, into an attractive package in the job market? It turns out this is the million-dollar question that Lantern was built to solve. For many confused STEM graduates, this is an opportunity to not only convert one’s hard learnt STEM skills into those actually applied in the industry, but also a good chance to know the industry from veterans and make your own allies in up-hill battle of job hunting.

UPCOMING SESSIONS

September 15, 2021 – December 30th, 2020

Full Time & Part Time 

Application deadline: September 5th, 2021

January 15, 2022 – March 30th, 2021

Full Time & Part Time 

Application deadline: December 29th, 2022

Apply Now

FEES & PAYMENT OPTIONS

UPFRONT
PAYMENT

$2549

Upfront fee at the start of the program


15% discount for upfront payments


Total Tuition: $2549 plus HST

MONTHLY
INSTALMENTS

$749

Equal instalments due on a monthly basis


Up to 4 equal monthly instalments


Total Tuition: $2999 plus HST


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STARTED?


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  • Virtual consultation to cater a training plan specific per student
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  • Receive tips and recommendations on courses and program options