1.. 메일로 연락 주시면, 지원서를 보내 드립니다.
2. Important Facts 반드시 참고해주시길 바랍니다.

학회에 대한 내용은 아래 글을 참조하시고, 학회 지원 및, 학회에 대해 궁금한 사항이 있으시면 메일로 문의 부탁드립니다.


Email: recruit.fba.trading.group@gmail.com


Important Facts

1.        Application Form will be sent through email.
2.        Recruitment
   A.        Deadline: Until January 5th, 2017.
   B.        Announcement: January 6th, 2018.

3.        Session Meeting

-        Session begins from January 7th
-        Weekly Session: Sunday 1:00 pm, Korea University

4.        Membership fee
-        25,000 / 3 month (Including fee for space reservation)


Additional Information about FBA
Who we are

i.        Overview

We study the field at the intersection of Data Science and application in quantitative finance. We create investment portfolio which is applied when we make investment decisions.
In detail, we bring application of practical cutting-edge Data Science technologies into traditional and alternative investment strategies.
As a group, we believe in the power of collective intelligence. We share ideas and analysis, and we fully committed to sharing our research and insights with the world’s investment community.

ii.        Data Science and Finance

Analyzing diverse financial data using data analysis techniques such as regression, data mining, etc. is not new. It had not been classified as a mainstream in finance yet and there are ample opportunities to explore novel investment strategies.
Along with emerging Data Science, we have strong conviction of developing Alpha generating algorithms.

iii.        Our Vision

There is a limit of making alpha from traditional investment strategies using financial data such as stock, bond, derivatives. That is, there is no reason to obsessed with widely used data.
We search for new data. We explore unreleased data from extracting quantitative data from qualitative data.
It takes intense curiosity, craving innovation in research in the global financial markets, their behaviors, drivers, and signals.

iv.        FBA Club

FBA Club members are intellectuals who are highly interested in Data Science, and Quantitative Finance and pursuing careers in various industries.

There are diverse goals of FBA Club
1.        We educate undergraduates in great details (from basic to advanced level) who are pursuing careers as a Data Scientist and Quantitative Analyst.
2.        Before entering industry, we provide people practical analyzing and investment experiences, and offer direct and indirect interaction with people working in the field.
3.        We explore exotic and creative Data Analysis Techniques and investment strategies.



FBA Club Training Program

Program Schedule
- Preliminary Session
- Intermediate Session
- Advanced Session

Program Details

Preliminary Session
        
1.        Introduction to Python

2.        Intro to Data Analysis

3.        Python for Data Analysis

4.         Python for Finance: Algorithmic Trading

Intermediate Session

1.        Introduction to Machine Learning

2.         Machine Learning for Trading

3.        Machine Learning

4.        Introduction to Deep Learning

5.        Introduction to Reinforcement Learning

6.        Deep Learning

7.        Machine learning with Scikit Learn and TensorFlow

Advance Session

1.        Reinforcement Learning

2.        Natural Language Processing with Python


Extra curriculum during Summer and Winter break

-        Investments [Bodie, Kane, Marcus]
-        Quantitative Methods in Finance [Carol Alexander]
-        Options, futures, and other derivatives [John Hull]
-        Quantitative Trading [Ernest Chan]
-        Mastering Python for Finance (James Ma Weiming)
-        Introduction to C++ for Financial Engineers (Daniel Duffy)
-        Introduction to R programming, SAS and SQL

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