AI, ML, Python For Finance

Collearn’s Finance Program

India’s First-Ever Program on AI and ML with Python for Finance with an International Internship

With an International Internship with a Luxembourg based fund management company

Shivam Nayak

Specializes in Python For Finance

25+ Hours of Sessions (recorded + LIVE)

Learn from a Fintech Expert

International Internship of Four Weeks

Pre-Placement Interview opportunities

Kickstart your FinTech journey!

Who is this course for?

Students/Graduates

All the students or fresh graduates who wish to get into Capital Markets roles in Fund Management Services, Risk Advisory and Custodian Services and Operations
Working Professionals

All the working professionals who wish to switch career paths into Capital Markets
All Curious Minds

Anyone who is interested in Fund Management, ESG or just want to have a basic understanding of AI/ML algorithms in Python for Finance

What will you learn?

Module 1

2 Sessions (2.5 hours each)

Introduction To Python for Finance
Applications of Python
Jupyter Software/Google Colab
Variables in Python
Introduction to Specialized Libraries for Finance in Python
Importing Finance Data into Python
Basic Manipulations of Data in Python

Module 2

2 Sessions (2.5 hours each)

Importing Finance Data into Python
Basic Manipulations of Data in Python using specialized libraries
Additional Python Code blocks
- Loops (For loops)
- Functions

Module 3

2 Sessions (2.5 hours each)

Using API to read and populate financial data
Risk-Return Calculations and Basic Charting in Python
- Stocks
- Portfolio of Stocks
Basic Charting Tools in Python using specialized libraries

Module 4

2 Sessions (2.5 hours each)

Application of Python in Capital Markets
Translating excel models in Python
Discounted Cash Flow Modeling
Scaling of Python Codes

Module 5

2 Sessions (2.5 hours each)

Basics of Artificial Intelligence and Machine Learning
Supervised and Unsupervised Learning
Preparation of Data sets in Python
Build your own stock price predictor in Python
Validating your stock price predictor

International Internship / Live-Project (remote)

4 Weeks (estimated 10 hours per week required)
Weekly update Session of 2 hours each

Internship: Weekly Follow-Up
- Doubt Clearing Session
- Evaluation of Weekly work done and progress
- Course correction and guidance
- Goal setting for the upcoming week
- Demonstration of some select live examples related to the weekly work

Golden Opportunity!!

Only Selected Students will get a chance to Intern with a Luxembourg-based Fund Management Company!

Management Track

Easier for non-technical students that introduces to basics of python coding. Gives them a hands-on example some readymade applications. Their work extension during the internship is more around business applications of such models in the capital markets industry.
Engineering Track

A slightly more technical project that provides the same basic level of practical experience to some select real-world applications. There work requires extension on the application of the technical application of some of the work.
Internship Certificate from a Luxembourg based Fund Management Company
Mentorship for 6 Months after the course
No upfront stipend but an opportunity to get Letter of Recommendation from the CEO and convert internship into a Full-time Job Offer

Get Certified

Learn LIVE from a Fintech Entrepreneur

01

Yes! You will be learning the subject from an actual Fintech Entrepreneur who will bring a lot of practical real life examples into your learning.

Confirmed International Internship

02

Yes! You will be interning with Esgwize-S SARL, a Luxembourg-based Fund Management company.

Verifiable
Certification

03

The Internship completion certificate will be provided by the ESGWize’s CXO level executive.

Best Internship Project Award & Pre-Placement Internship Offer

04

Based on your performance, you will also be eligible for PPIs and Best Internship Project award in the cohort.

Enhance your visibility

05

Share your certificate and work on different social media platforms to enhance your social capital.

Catapult your fund management journey

06

Use the skills learnt in the course to secure your position in the fastest growing futurist world of AI, ML and Python in Finance.

Testimonials

It was an absolute pleasure to attend the 'Introduction to Python for Finance' course organized by CFA Society Emirates. I'd like to thank our tutor Shivam Nayak for teaching us the basics of Python and sharing its advantages in the financial services field. Given the technological advancements, it is necessary for us to adapt and grow with the financial industry and I'm glad I took my first step towards this. I hope to build a better understanding of Python and I look forward to putting it to practical use.

Roshani Sajnani

Transaction Advisory Intern at Ardent Capital Dubai

Really enjoyed the course. Very clear articulation of the concept n enough summary to get us going.. thanks again􀀀􀀀” HSBC Innovation Team, London

Nitesh Kumar Bhansali

HSBC Global Product Lead

The session started real fast but I guess that was highlighted and he did slow down post that. While it was quite informative and helpful. Starting from scratch did help with the build up but would have appreciated him sharing the links to the libraries needed to be installed in advance. More importantly, could have been more interactive in terms of practice work, assignments etc but overall a big value add and would appreciate further details in case they have courses that someone could individually sign up to learn further

Nutan Gothivernkar

ex Associate Director HSBC

About the Instructor

Shivam Nayak

Specializes in Python For Finance

10+ experience as a banking Product Manager across various products in Citi and the fin-tech startup that he co-founded
At Citi he has managed USD $1.5+ Billions trade book and Cash and Securities products with revenue of more than $10 Millions
Launched multiple new products in trade finance for Citibank as a Product Manager, that have been widely accepted and help ramp up the book from $200 Millions to $1.5+ Billlions

At his startup, he is the Chief Product Manager where their products help some of the largest multinational banks in the country and offer better trade finance products to their customers
His startup is funded by Lumis Partners and Oracle
He is an MBA from Indian Institute of Management (IIM) Kozhikode with a gold medal, Electronics and Telecommunication engineer from Mumbai University and a MENSA member

About the Instructor

Shivam Nayak

Specializes in Python For Finance

10+ experience as a banking Product Manager across various products in Citi and the fin-tech startup that he co-founded
At Citi he has managed USD $1.5+ Billions trade book and Cash and Securities products with revenue of more than $10 Millions
Launched multiple new products in trade finance for Citibank as a Product Manager, that have been widely accepted and help ramp up the book from $200 Millions to $1.5+ Billlions

At his startup, he is the Chief Product Manager where their products help some of the largest multinational banks in the country and offer better trade finance products to their customers
His startup is funded by Lumis Partners and Oracle
He is an MBA from Indian Institute of Management (IIM) Kozhikode with a gold medal, Electronics and Telecommunication engineer from Mumbai University and a MENSA member

Frequently Asked Questions

Please provide the course starting and ending date and timings.

Live Classes:
Starts: Anytime you want!
Days: Access to the recorded sessions is given every alternative day, LIVE doubt clearing sessions on Sundays
Timings: 5:30 pm – 7:30 pm (mostly)
During internship-
LIVE Sessions only on Saturdays (5pm to 7:30 pm).

Key Highlights of the course

Understand the basics of using Python and its applications.
See contextual examples and basic applications of Python in Finance (Capital Markets).
Understand various aspects of Machine Learning and Artificial Intelligence application in Python.
Use of standard transformer models in machine learning to do Sentiment Analysis, Question Answering models.
This course shows the benefits of using standard Python libraries for even those not formally trained in coding while also compelling other interested students to take up deeper and more detailed problems to solve.

How does a career in Python for finance work in India and abroad?

There are a number of quant finance roles such as-

Risk Advisory
Risk Management
Custodian Services
AML
Fund Management

These roles open up once a candidate develops proficiency in Python as well as Finance. A lot of valuation companies are also looking for such people both in India and abroad.

Will this course be live or pre-recorded?

It is a pre-recorded self-paced course with live doubt solving sessions on weekends. Apart from that we also have a complete live course (subject to available dates).

Will the recordings of the sessions/classes be shared?

All the recordings (non-downloadable) would be shared for SIX months.

Are there any prerequisites, technical or otherwise, to attend the course?

Passion for Finance, interest in the Fund Management and ESG investing with basic knowledge, and then a desktop or laptop with internet would be enough.

Would my doubts be addressed in the class?

Yes, all your doubts would be addressed during the doubt-solving sessions. Post the sessions it can be addressed during the mentorship period through the community group.

Will I be getting any certificate after the completion of course?

Yes, you will be getting the Certificate of Completion after attending the course.

What is included in the mentorship?

Access to instructors for doubt clearing.
Group Career mentorship session on the Funds Industry.
For those who opt for the Internship, access to company resources (limited time only).

How many students do you take per batch?

We take a maximum of 25-30 students per batch.

How does the internship work with the international fund management company?

The internship capstone projects follow two different tracks with some common overlap in the basics.

Management Track: Easier for non-technical students that introduces them to basics of Python coding. Gives them hands-on examples of some readymade applications. Their work extension during the internship is more around business applications of such models in the capital markets industry.
Engineering Track: A slightly more technical project that provides the same basic level of practical experience to some select real-world applications. Their work requires extension on the business applications and includes the technical applications of the same.

The internship is divided into 3 guided segments that is designed to provide some real-world application and some self-driven extension of work on top of it, depending on the track chosen. The three segments are broadly divided as below:

Segment 1: 40% of the work (Week 1 and Week 2) This is more of looking at actual working models in select examples and extending the already working models into some new select examples. This segment would be handheld to build confidence of the candidate.
Segment 2: 40% of the work (Week 2 and Week 3) Depending on the track chosen each would be provided with certain achievable goals and certain stretch goals. The idea is to show the candidates the direction of work in the industry so that they can get a flavor of how to self-chart a path to success.
Segment 3: 20% of the work (Week 4). It is the process of documenting and presenting their learnings and future goals during and after the internship.

The internship completion certificate will be awarded to all students that complete at least Segment 1 of the internship in a timely manner and attempt Segment 2 in a satisfactory manner.

Note:

It will be completely remote internship
There will be weekly individual check-in and evaluation of the internship work
Get an experience of working in the fund management industry first hand and see if this is a career choice for you.

How does the PPI offer work in the firm? What incentives are part of the course?

The best completed internship project done by the candidate will be given an opportunity to present to the entire batch along with the company officials, and will be awarded the Best Internship Project award. PPI offers will be given based on performance.

Throw more light on the Luxembourg based fund?

Internship to be done with an AI/ML focused company that works in the space of using AI/ML to ESG ratings in the capital markets industry. The company is based in Luxembourg. Luxembourg is considered as the global mecca of the Capital Markets industry.

I have registered for the course but I haven't received any confirmation message. What should I do?

No worries, please WhatsApp us your query at +91-9108981949 or email us at learn@thecollearn.com/@thecollearn.com/ and we will get in touch with you.