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Quantitative Developer

Price

£250
per month

Duration

12 Months

Mode

Online

About the Course

Quantitative Developer Work Experience Program

Gaining real-world work experience as a Quantitative Developer

Quantitative Developer Work Experience Program - Entry Level
Quantitative Developer Work Experience Program

The Quantitative Developer Work Experience is an intensive remote work experience that provides people looking to transition, transform or grow their careers as a Quantitative Developer. The program equips and empowers you to deliver quantitative solutions  in any organisation across any sector in any country in the world. It also provides guidance and tools necessary for working in a remote environment with distributed teams.


If you want to gain valuable work experience designing and developing quantitative solutions, our Quantitative Developer Work Experience is your next step


Benefits of Joining the Quantitative Developer Work Experience Program
  • Real-World Projects: Learn by working on a real quant projects

  • Action based learning: learn by doing and adapting to feedback

  • Job Readiness Support: CV Review & Interview Preparation

  • Live Interactive Classes: Learn for industry quant leaders and practitioners

  • Certification: Get a Certification of Participation - Certified Quantitative Developer

  • Small class size: Personalised and team based learning experience


Learning Outcomes

After taking the program, you will be:

  • Use Python for developing and delivering quantitative solutions

  • Understand Stock Market and Bond Markets

  • Understand Derivates

  • Understand Random Behaviour in Finance

  • Understand Black-Scholes Model

  • Understand Value at Risk (VaR)

  • Understand Interest Rate models


Development Outcomes

After taking this program, you will:

  • Develop a Quantitative portfolio construction application

  • Develop a Capital Asset Pricing Model

  • Develop a financial brownian motion application

  • Develop an Option Pricing application

  • Develop a Value at Risk (VaR) application

  • Develop Bond Pricing Application

  • Develop a Interest Rate Application


Program Outline & Schedule

The programme outline is project driven as shown in the table below:

  • Month 1

    • Kick Off

    • Who is a Quantitative Developer?

    • Discovering my Why

    • Understanding the Job Market

  • Month 2

    • Python Basics

    • Stock Market Basics

  • Month 3

    • Bond Theory and Implementation

    • Project 1 - Develop Bond Pricing Application

  • Month 4

    • Modern Portfolio Theory

    • Project 2 - Develop Quantitative Portfolio Construction Application

  • Month 5

    • Capital Asset Pricing Model Theory

    • Project 3 - Develop a Capital Asset Pricing Model application

  • Month 6

    • CV Review - Quantitative Developer

    • Mock Interview - Quantitative Developer

  • Month 7

    • Derivaties Basics

    • Random Behaviour in Finance

    • Project 4 - Develop a financial brownian motion application

  • Month 8

    • Black-Scholes Model theory

    • Project 5 - Develop an Option Pricing application

  • Month 9

    • Value at Risk (VaR) thoery

    • Project 6 - Develop a Value at Risk (VaR) application

  • Month 10

    • Interest Rate Modelling theory

    • Project 7 - Develop an Interest Rate Modelling Application

  • Month 11

    • CV Review - Quantitative Developer

    • Mock Interview - Quantitative Developer

  • Month 12

    • Project 8 - Your Personal Capstone Project (Deliver your own quantitative project)


When do we meet?

We meet twice a month on 1st & 3rd Wednesday of the month between 6 pm - 7 pm UK time. Between sessions, the group uses online chat to stay focused and often arranges additional sessions with each other to accelerate their certification and experience.


Learn by Doing!

The Quantitative Developer Work Experience Program focuses on experiential learning, allowing you to apply quantitative development skills and techniques on a real-world projects. This program will be based on 8 quantitative projects.


Regular meeting session with experienced industry experts and coaches provide actionable insights and feedback, ensuring you gain practical, real-world experience and knowledge


All our coaches and trainers are practitioners in the field. We are on the journey with you


Who this Program is for:

The Quantitative Developer Work Experience Program is suitable for professionals across all industries who want to develop their quantitative development capabilities and expertise. This program is relevant to everyone involved in any aspect of quantitative developmentment including:

  • Aspiring quantitative developers

  • Quantitative developers looking for more hands on experiences

  • Quantitative analyst

  • Quantitative researchers

  • Quantitive trader

  • Data scientists

  • Finance professional

  • Looking to gain real-work experience as a Quantitative Developer

  • Transitioning into a Quantitative Developer role

  • Looking to work with a Investment team as a quantitative developer


Prerequisites
  • All experience levels are welcome.

  • No previous quantitative developer training or experience is required.

  • Strong desire to learn and grow

  • Eager to apply and adapt to feedback

  • Respect team members and business stakeholders

  • Have a working laptop with stable internet and video camera capability


Certification

After fulfilling the requirements of the Quantitative Developer Work Experience Program - Attendance requirements and project completion requirements, participants will receive the following:

  1. Certification of Work Experience Program Completion

  2. Certification of Project Completion

  3. Job referencing


Bonus Offering
  • Becoming part of our thriving community of Career Transformers

  • Free training Workshops - Finance, python, R, AI, machine learning and much more

  • 1 free 1-on-1 CV Review coaching session

  • 1 free 1-on-1 mock interview coaching session


Your Instructor

Jane Obe

Jane Obe is a seasoned Quantitative Developer and dedicated tutor based in London, with over 15 years of experience in the finance and technology sectors. She has worked with top investment banks and hedge funds, specializing in algorithmic trading, data analysis, and risk modeling. Jane holds a Master’s in Financial Engineering and is proficient in Python, C++, and MATLAB. Passionate about mentoring, she now tutors aspiring quant developers, blending real-world insight with academic rigor. Her tailored approach helps students master complex quantitative concepts and secure roles in competitive financial institutions across the UK and globally.

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