Core Technical - Intermediate - Front Office (Investment)

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Awarded to graduates in the Investment Division who have successfully completed the Phase 3 in-region virtual technical training for the Front Office stream. This badge recognises advanced capability in markets, products, portfolio modelling, and Python programming for financial applications.

Modules Covered:

Insights into Global Commodity Markets

Python for Finance: An Introduction

Advanced Strategies in Structured Credit

Python Power-Up: Level Up Your Coding Skills

Maximizing Returns in Complex Markets

From Rows to Results: Building with Python DataFrames

Demystifying the Securities Trade Lifecycle

Python for Time-Based Trends: A Timeseries Toolkit

Navigating Derivatives: Swap Products Simplified

Credit Derivatives: Understanding Structures & Risks

Python Playbook: Grouping, Merging & Mastering Market Data

Credit Analysis: Thinking Beyond the Ratios

Trade It and Test It: Backtesting with Python

Structured Success: Unlocking Investment Products

Demystifying Options: The Tools Pros Use to Shape Risk and Return

Optimize This: Smarter Portfolios with Python

The Pythonic Way: Writing Cleaner, Smarter Code

Pair Programming with Copilot: AI as Your Coding Assistant

Intro to Volatility and Correlation: The Hidden Drivers of Portfolio Outcomes

Why You Earned This Badge

You actively participated in all required sessions, achieved ≥70% in knowledge checks, and submitted at least one applied challenge response. Your progress demonstrates strong foundational competence and readiness to engage with more complex investment topics ahead.

Learning Outcomes

By earning this badge, participants will be able to:

Analyse the drivers and trends within global commodity markets.
Apply advanced strategies in structured credit to optimise portfolio returns.
Use Python to manage and analyse financial data, including cleaning, merging, grouping, and time series analysis.
Build and test investment models, including backtesting and portfolio optimisation.
Evaluate opportunities in complex markets and assess portfolio performance under varying conditions.
Explain the complete securities trade lifecycle and its operational considerations.
Assess the structure, pricing, and application of derivative products including swaps, credit derivatives, and
options.
Conduct advanced credit analysis using both quantitative metrics and qualitative judgement.
Recognise the impact of volatility and correlation on portfolio construction and risk management.

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