We invite instructors from more than ten different companies, see our blog. To respect the privacy of our instructors, only certain members of our team are introduced below.
Tanaby Z. Mofrad
DIRECTOR OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING, SCOTIA BANK
Tanaby Zibamanzar Mofrad is a senior data scientists at Scotia Bank. He uses Artificial Intelligence and Machine learning as one of the main parts of his job and he has a great knowledge in analytics and big data related tools. He has received his masters degree in computer science from Brock university and has been working in data science and data analysis industry for more than 5 years.
Markiyan Sloboda, Ph.D.
VICE PRESIDENT CAPITAL MARKET, BANK OF MONTREAL
Dr. Markiyan Sloboda finished his PhD in Computer Science from University of Guelph. His research was related to applying artificial intelligence to model calibration. Then he joined TD Bank as manager of Advanced Analytics in the Anti-Money Laundering department. He and his team of four PhD scientists were responsible for building predictive models to identify suspicious transactions for 2.5 years. After that Dr. Sloboda joined Bank of Montreal (BMO) as a manager in Model Vetting, focusing on models related to pricing derivatives. He was responsible for validating equity, interest rate and exotic options for more than three years. Currently, Dr. Sloboda is working as a Vice President in BMO Capital Markets, responsible for developing equity vanilla pricing models and supporting the volatility trading desk in their everyday activities. During his tenure at TD and BMO, Dr. Sloboda was also teaching for 3 years at the Ted Rodgers Business School, Ryerson University.
Dmitry Vyushin, Ph.D.
DIRECTOR OF MARKET RISK MODELS, ROYAL BANK OF CANADA
Dr. Dmitry Vyushin is a Director in Non-Trading Book Risk Modelling Team of Market Risk Department at the Bank of Montreal. He is currently developing a new Enterprise VaR system that covers Trading, Treasury, Insurance, and Pension portfolios. After graduating from the University of Toronto with a PhD in Physics in 2009, he joined the Operational Risk Department of Scotiabank. In 2012, he was promoted to the position of Director, Enterprise Risk Stress Testing at Scotiabank, where he led the development of statistical Non-Retail and Retail Credit Risk Stress Testing models. In the beginning of 2015 Dmitry assumed the role of Director, Market & Counterparty Credit Risk Modelling at the Bank of Montreal, where he was involved in the redevelopment of an existing Trading Book IRC model into a Monte-Carlo based model for Credit, Counterparty Credit, and CVA economic capital calculation.
Roman Cherkashyn, CPA
SENIOR FINANCE MANAGER, SCOTIABANK
Roman is a Banking professional with 15+ years of experience with Canadian and International banks. A subject matter expert in Finance – Management Reporting & Accounting, Planning & Forecasting, Product profitability, Cost controlling. Roman has a Master’s degree in Finance, he obtained a Certified Professional Accountant (CPA) designation in 2017.
Currently, Roman is a member of the Scotia Bank, Finance team. He has hands-on experience with Excel from Day 1 on job. Throughout his career he’s worked with, pretty much, every functionality of Excel, and knows it inside out. He gets tremendous satisfaction from facilitating in the development of other people – career advice, CPA mentoring, and now his new undertaking – Excel Instruction.
Away from work, Roman is a father of two teenagers. He is a passionate angler & table tennis player.
Moataz El Ayadi, PhD
ASSOCIATE DIRECTOR DATA SCIENTIST, RBC
Dr. El Ayadi is an Associate Director in the Operational Risk Analytics team which is a part of
the Group Risk Management (GRM), Royal Bank of Canada. He is currently leading the technical team towards developing Natural Language Processing (NLP) solutions that address business needs and implementing efficient and standardized ETL pipelines for computing key risk indicators (KRIs).
Dr. El Ayadi earned his PhD degree in Electrical and Computer Engineering, University of Waterloo (Pattern Analysis and Machine Learning (PAMI) lab) in 2009. Dr. El Ayadi was a Data Scientist in the Decision Sciences department at Scotiabank where he was leading the AI for Speech Insights team to develop voice-enabled business solutions using both Speech Recognition and NLP methods.
Esmaeil Safaei, Ph.D.
RISK MANAGER, ROYAL BANK OF CANADA
Dr. Esmaeil Safaei is currently a risk manager in RBC Capital Markets. Prior to his current role, Esmaeil was working as a Quantitative Analyst at Ontario Teachers’ Pension Plan among a skillful team whose expertise was entrusted in the financial security of 316,000 retired teachers. Despite his foothold in the financial industry, he had his beginnings in engineering. After earning his Ph.D. in Mechanical Engineering from the University of Toronto, he made a brave decision of changing his career in order to pursue his true interests. Having been fascinated by questions regarding the science of money management, the theories of economics, and understanding the financial problems, he obtained his Master of Financial Mathematics at McMaster University.
Hélène P. Lussier
PRESIDENT, LUSSIER SEARCH
Hélène P. Lussier is the president of LUSSIER SEARCH and has a history of placing risk management professionals since 1993 at the senior and mid management levels. She works with experienced global risk professionals whose careers have taken them throughout the Americas, Asia, the Middle East and beyond.
Her company’s areas of search and recruitment include: Financial Engineering, Quantitative Analytics, Risk Modeling, Derivatives Pricing and Valuations, Risk Model Vetting and Validation, Risk Audit, Risk Reporting and Analysis, Counterparty Credit Risk, Economic and Regulatory Capital, Regulatory Compliance, Internal Risk Ratings, Basel II and III, V-a-R, Market and Liquidity Risk, Credit Risk, AIRB, Operational Risk, AMA approach, Enterprise Risk Management.
SPECIALIST ANALYTICS AND DATA SCIENTIST, INTERAC CO.
Amirsina is a Specialist Analytics and Data Scientist at Interac Co. He has done his masters in Mechanical Engineering at University of Toronto, and his thesis was about improving a computational fluid dynamic model in C++. His great programming skills and interest in statistics brought him to the field of machine learning. He started his professional career as a data scientist, machine learning engineer at Acerta Analytics Solution. At Acerta, he worked on anomaly detection models for different mechanical systems. He is currently working in finance sector and develops different statistical models for analytics and fraud department of Interac Co. Amirsina is very passionate about teaching, and follows this passion as a part-time instructor.
Alireza Hojjati., Ph.D.
DATA SCIENTIST, MANULIFE FINANCIAL CORPORATION
Our guest lecturer is a Data Scientist in Manulife Financial Corporation. He is an expert in Machine Learning, Predictive Analytics, Bayesian Inference, Gaussian Processes, Monte Carlo Simulation, PCA and Recommender Systems. He has a PhD in Astrophysics from British Columbia.
VP of Business Operations
Alice Wolfe is a mechanical engineering graduate from the University of Toronto where she specialized in mechatronics and manufacturing. Throughout her degree, Alice worked as an administrator at a corporate and securities litigation law firm and gained engineering and business experience from internships held in Ottawa and Toronto in the health care and nuclear industries.
Currently, Alice seeks to use her engineering background, business experience, and love of communication as the VP of Business Operations at Lantern Institute. She makes sure everything runs smoothly at lantern and is always ready to answer any questions you might have.
Hanif Montazeri, Ph.D.
Dr. Hanif Montazeri is a computational physicist with expertise in high performance computing, algorithm design, and advanced numerical techniques. Being a software entrepreneur while at the same time an adjunct faculty member at the University of Toronto, Dr. Montazeri has a clear view of the disconnect between formal education and the job market. As such, under his leadership, this training program was created to help his bright students build a successful career in software related fields. To build this program, he gathered a senior team of software developers and data scientists to develop and teach effective syllabuses containing skills that are actually being used in industries.
Director of operations
Farhad Keramati is a software developer at NuPhysics Consulting. Along with his proven expertise in programming, Farhad brings to our students a high degree of expertise in teaching, providing our students a strong basis for the advanced modules taught by our industry experts.
Industries are rapidly advancing at a pace that universities cannot keep up with because professors are not active in industry and big institutions are slow to change. This creates an evergrowing gap between what is taught and what is actually needed in the job market leaving graduates unequipped to secure employment and companies with technical gaps on their teams.
Lantern Institute bridges the gap between universities and the job market by training university graduates in the skills that employers demand most. With help from our partnering finance, IT and recruiting firms, we then connect the graduates we train with employers in need of personnel with the skills we teach.