In-house

In-House Training Solutions

Tailored Learning. Maximum Impact. Delivered at Your Convenience.

At WBS Training, we understand that every organisation is unique, so your training should be too. Our In-House Training service is designed to bring the same high-quality expertise and real-world relevance of our public courses directly to your team, wherever you are in the world.

Why Choose In-House Training?

Our bespoke in-house programmes provide your team with practical, targeted learning that aligns with your business objectives, delivered by our industry-leading faculty.

Key benefits include:

Customised Content: Tailored course design to meet your team’s specific needs, sector, and challenges.
Cost-Effective Learning: Train multiple employees at once, saving on travel and registration costs.
Flexible Delivery: Courses can be delivered on-site, online, or in a hybrid format to suit your schedule.
Real-World Application: Our trainers are active practitioners who bring real-life case studies, tools, and insights to every session.

Our Expertise

We’ve delivered hundreds of successful in-house programmes to banks, asset managers, regulators, corporates, and government institutions globally. From treasury and risk management to financial modelling, quantitative finance, and regulatory compliance, our courses span all key areas of financial markets and business.

Our subject areas include:

Quantitative Finance / Modelling Techniques
Ai Agents / LLM’s
Algo Trading
Python / Quant Developer
Financial Markets, Financial Modelling & Instruments
Risk Management & Regulation
Bank Treasury & ALM
Leadership & Soft Skills for Finance Professionals

How It Works

Consultation – We work with you to define your goals and training needs.
Customisation – Our faculty will adapt or build course content to suit your objectives.
Delivery – We deliver the training at your location or online, at a time that works for your team.
Lifelong learning – Training can be retained as a company learning library.

Trusted by Global Institutions

Our clients include top-tier banks, hedge funds, technology providers, financial institutions and global fintech team. We are proud to be a trusted learning partner to the financial services industry.

Let’s Design the Right Training for You

Whether you’re looking to upskill your treasury team, strengthen risk awareness, or develop analytical capabilities, we can help.

Get in touch today to discuss your needs and receive a tailored proposal.

The Quantitative Developer Certificate (QDC)

The QDC delivers:

✅ All modules available in-house
✅ Practical, job-focused training in quant development
✅ Hands-on coding projects in Python and C++
✅ Live instruction from seasoned quant and risk professionals
✅ Access to recordings, materials, and a vibrant learning community

All in six months—with the flexibility of online learning, designed for full-time professionals. Unlike expensive master’s programs or bootcamps that offer generic tech skills, the QDC targets the high-value niche of financial engineering and quant dev roles that are in demand across investment banks, hedge funds, fintechs, and asset managers.

About the programme

This is the first of a kind course that teaches what the job of a quantitative analyst, developer or strat really is. There will be nearly no math in the course, but you will learn about the exact types of the quant jobs on the sell and buy-side, in consulting and in fintech, daily routines of different types of quants and their interaction among themselves and with other stakeholders, quant reports and other deliverables, quant library organization, the quant R&D process on the sell and buy-side and, finally, the skills that are really necessary beyond the technical ones and the career prospects. There is also a special section providing a very high-level view on the quant modelling for pricing, risk and trading strategy design. Sections on the organizational structure, quant job types and quant deliverables will be also useful for non-quants, including MBAs and CFA candidates.

Module 1: Python for finance:
- THE LINGUA FRANCA OF DATA SCIENCE, MACHINE LEARNING, AND FINANCE
- Module 1 Test
Module 2: Databases in finance – Kdb+/q:
- AN UNRIVALED TOOL FOR BIG DATA AND HIGH-FREQUENCY DATA
- Module 2 Test

Module 3: C++ fundamentals with use cases from finance:

- PERFORMANCE, PRODUCTION STABILITY, AND PORTABILITY
- Module 3 Test
Module 4: Data structures and algorithms in C++:

- THE CORE OF COMPUTING
- Module 4 Test
Module 5: Designing algorithmic trading applications:

- STATE-OF-THE-ART CONTENT
- Module 5 Test
Final Examination

👉 Contact for QDC In-House Training

Unlock the World of Systematic Trading: The Algorithmic Trading Certificate (ATC)

✅ All modules available in-house

In a financial landscape increasingly dominated by automation, data, and code, algorithmic trading has moved from the edges of finance to its very center. From hedge funds and prop shops to investment banks and even retail platforms, the demand for professionals who understand systematic trading strategies, market microstructure, and trading infrastructure has never been greater.

Enter the Algorithmic Trading Certificate (ATC)—a 16 module, intensive online programme designed to equip you with the skills and insight needed to build, test, and deploy algorithmic trading strategies. But beyond the cutting-edge content and expert instruction, what truly sets the ATC apart is its outstanding value for money.

“For anyone looking to translate rigorous quantitative ideas into deployable trading frameworks without needing a full-time coding boot camp, this certificate delivers an exceptionally well-structured, academically grounded path to practical alpha.”

About the programme

Throughout our unique programme, we provide a strong foundation in the tools and techniques used in algorithmic trading. Studying you’ll learn the basic programming concepts, moving through advanced trading strategies and discovering methods for research into new alpha sources. Applying everything in hands-on projects throughout the course. Unlike the other courses, the Algorithmic Trading: Practitioners Guide course takes a hands-on approach to building trading pipelines, from data to features to modelling to allocation to execution to performance measurement, guiding the student through common practice as well as areas of innovation.

Level up your career: Understanding advanced trading strategies, Impact of Machine Learning and methods for research into new alpha sources. The ATC is a career-enhancing professional certificate, that can be taken worldwide.

💎 World-Class Education

The ATC isn’t a generic finance or coding course—it’s a specialised programme tailored specifically to algorithmic trading, covering topics like:

Strategy design and backtesting
Execution algorithms and market microstructure
High-frequency trading considerations
Risk management in systematic trading
Python and relevant libraries used in live trading environments

Delivered over 16 modules, the programme offers deep, practical learning with a focus on real-world applications—without the high cost of a traditional degree or full-time bootcamp / certificate.

📚Modules

Primer – Fundamentals of Algorithmic Trading
Module 1: Intro and Industry Overview
Module 2: Data and Features
Module 3: Statistics and Time Series
Module 4: Machine Learning
Module 5: Trend Following
Module 6: Carry and Volatility Strategies
Module 7: Mean Reversion
Module 8: Forecasting Models and Factor Investing
Module 9: Order Execution and Market Making
Module 10: Portfolio Theory and Allocation
Module 11: Backtesting and Performance
Module 12: Risk Management

👉 Contact for ATC In-House Training

About the programme

We are thrilled to share the launch of the AI Agents in Finance Certificate, a hands-on, 21-hour program designed for finance professionals and Python enthusiasts who want to champion the next wave of intelligent automation in our industry.

✅ All modules available in-house

Here’s why you won’t want to miss it:

🔍 What You’ll Learn

Design, orchestrate and govern autonomous LLM agents for trading, risk management, fraud detection and personalized advisory.
Integrate orchestration frameworks (OpenAI Responses SDK, AutoGen, CrewAI, LangChain) with RL-tool libraries (ARTIST, ReCall, verl).
Build multi-agent “crews” that plan, code, self-correct and evaluate performance using AgentBench benchmarks and tail-risk metrics.
Labs include: SEC-filing analysis committees, VaR repair-bots, streaming RAG pipelines, four-agent prop-desk crews and more!

This intensive, hands-on course explores cutting-edge Large-Language-Model (LLM) Agents-and their hybridisation with reinforcement learning-in the financial domain. Students design, orchestrate, interpret and govern agentic systems for algorithmic trading, fraud detection, risk management and personalised advisory. Every session features sub- stantial coding labs using production frameworks (OpenAI Responses SDK, AutoGen, CrewAI, LlamaIndex, LangChain) alongside emerging RL– tool-use libraries (ARTIST, ReCall, verl).

SESSION 1 Foundations – Workflows – AI Workflows – Agents

Working knowledge of Python programming.
Introductory understanding of financial markets and instruments.
Basic familiarity with machine-learning concepts; prior RL is helpful but not required.

SESSION 2 Multi-Agent Architectures & Collaboration Patterns

Crew roles, dynamic spawning, delegation and debate.
Communication schemas, reflection, voting.
Lab: three-agent investment committee parses SEC filings and issues a decision memo.

SESSION 3 Interpretability, Safety & Thought Tracing

Anthropic circuit tracing; scratch-pad logging & sanitisation.
Governance: audit trails, pausable workflows.
Lab: instrument advice agent with circuit traces and auto-redaction.

SESSION 4 Tool-Using & Coding Agents

Coder–Critic–Executor loops (Reflexion, Self-Refine).
Safe sandboxing and unit-test-driven repair.
MCP and advanced tools
Lab: repair-bot iteratively fixes a faulty VaR calculator.

SESSION 5 Knowledge-Integrated Agents & RAG 2.0

Corrective-RAG (CRAG), Introspective Agents, structured retrieval.
Stateful agents with Letta
Streaming pipelines, vector-DB ops, compliance logging.
Lab: streaming RAG agent ingests live 10-Q filings and flags covenant breaches.

SESSION 6 LLM Agents + RL Layers in Production Finance

RL Adds Value: RLHF/RLAIF and policy-level RL (ARTIST) for tool-selection and compliance.
Turn-level credit assignment; ReCall & Agent-R1 for end-to-end tool-calling RL.
Hybrid market simulators: TradingAgents crews, FinRL-Meta;
LLM-only vs PPO trader comparison.
Evaluation: AgentBench finance tasks, CRAG-based factual rewards, Self-Taught Evaluator.
Lab: four-agent prop-desk crew (planner, analyst, coder, risk officer) deployed in FinRL-Meta equities env-targets: Sharpe, CVaR, compliance.

SESSION 7 Evaluation, Governance & Deployment

Benchmarks: AgentBench, SWE-agent regression.
Risk metrics: CVaR, stress scenarios, fail-rate.
Deployment pipelines: blue–green, guard-rails, kill-switches, EU AI Act mapping. Capstone: monitoring dashboards and audit proceed

👉 Contact for Ai Agent In-House Training