Chartered Fintech Professional (CFtP) Foundation Training Module 2: Statistics and Quantitative Methods
- Analytics & Tech
- Finance & Investment
This module is conducted in-person.
2 days
Weekday and Saturday (9am - 5pm)
Who Should Attend
- Young graduates or early-career professionals who are exploring a new career in Fintech and would like to undergo a structured and rigorous industry-relevant programme
- Professionals who are already working at the intersection of finance and technology and who wish to keep abreast with latest fintech knowledge, applications, and trends
- Finance or Tech professionals who are currently leading teams in related industries and would like to plug their knowledge gaps in finance and/ or technology
- Industry regulators from central monetary authorities, law enforcers of financial crime etc., who are seeking a systemic perspective on the disruptions to financial services and monetary system
PREREQUISITES
There are no prerequisites, but if a participant intends to register for the Chartered Fintech Professional examination following the completion of this training course, an undergraduate degree from a recognised university or equivalent professional qualification is a compulsory enrolment requirement.
Overview
Module 2 on Statistics and Quantitative methods is designed to equip participants with essential quantitative and statistical tools and techniques to make informed decisions when data is required to be analysed. The course discusses the rudiments of mathematical concepts and methods that facilitate situations where data is required to be manipulated to model problems and derive meaningful insights.
Section 1 on “Statistics” provides an understanding of the key concepts of statistical analysis. As Fintech uses data to try to understand and predict behaviour and operation contingencies, this segment discusses 4 aspects of statistical analysis: Statistical Distribution, Sampling and Estimation, Hypothesis Testing, and Regression Analysis.
Section 2 on “Quantitative Methods” discusses the rudiments of quantitative methods that facilitate understanding of computing and other data analysis applications. This is covered in five sections: Boolean Algebra and Logic Gates, Number System, Modular Arithmetic, Matrix Operation, and Clustering and Classification. Technologies such as AI, blockchain, and quantum computing have been widely applied to various areas in finance. Having a solid understanding of the underlying mechanisms in these technologies will give Fintech professionals a better idea of the potential and the use of emerging technologies to solve issues in the financial industry.
Learning Objectives
At the end of the 2-day module, participants will be able to:
- Understand the concept of probability distribution properties and how it can be used to model patterns of financial data
- Discuss how useful information about the financial market (population) can be obtained from a sample estimation
- Discuss the confidence interval estimate of a financial variable
- Understand steps of statistical hypothesis to test on the significance of a hypothesised financial statement
- Formulate a multiple regression equation to inference about the relationship between different factors of interest in a fintech problem
- Define Boolean Algebra and Logic gates and the conceptual framework
- Convert any number given in base A to one in base B in number systems
- Computing addition and multiplication tables associated with modular arithmetic
- Understand basic matrix operations and associated properties and how its applied in Finance, e.g., to calculate risk and expected return profiles of investment portfolios
- Understand clustering and classification concepts, cluster validation, proximity measures, and limitations of clustering, and be able to conduct cluster analysis to solve FinTech problem like customer segmentation analysis
Assessment
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$654 (After SSG Funding 70%) |
$254 (After SSG Funding 70% |
$654 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
|
International Participant |
$2,180 (No Funding) |
$2,180 (No Funding) |
$2,180 (No Funding) |
All prices include 9% GST
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Company Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees will be able to enjoy ETSS funding only if the company's SME's status has been approved. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
Intake Information
This module is conducted in-person.
| Course | Dates |
|---|---|
| INTAKE | [To Be Confirmed] |
*Online registration will close 5 calendar days before the course start date
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