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EIMF Certificate in AI Compliance and Applications for Finance Professionals

EIMF Certificate in AI Compliance and Applications for Finance Professionals

Dates

  • November 2026
      to   (3 sessions)
    Delivered Online
    €460 - €880
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Highlights

  • Live Online

  • HRDA Subsidised

  • 21 CPD Units · 21 Hours

The EIMF Live Online Learning Experience

Participants will receive access to the recorded sessions of the course.

EIMF subject-matter experts deliver engaging and interactive courses across a broad spectrum of areas, that can be enjoyed in the comfort of your own chosen environment. Read more

Course Overview

The Certificate provides a structured and practical introduction to artificial intelligence (AI) and its applications within the finance environment. The programme covers AI fundamentals, regulatory and compliance considerations, statistics and data analysis, algorithmic trading fundamentals, and the use of generative AI tools.

Emphasis is placed on responsible and effective AI adoption, aligned with the EU AI Act, Market Abuse Regulation, and broader governance requirements. The certificate is designed for professionals seeking to understand, evaluate, and responsibly use AI technologies to enhance decision-making, efficiency, and innovation in regulated and competitive environments.

Training Objectives

The programme objectives should address what learners will know at the end of the course.

  • Identify key regulatory and compliance requirements affecting AI in finance

  • Understand the principles of algorithmic trading and automated decision-making

  • Explain machine learning outputs and their business implications

  • Organize AI governance frameworks and monitoring programs

  • Analyze regulatory and operational risks of AI implementation

  • Appraise AI tools for suitability in regulated environments

Training Outline

Introduction

  • Introduction to the course and the trainer

  • Ice-breaker Activity and Introduction of Participants

  • Training Objectives and Course Structure

Introduction to Artificial Intelligence

  • Core concepts of artificial intelligence

  • Types of AI systems, and current capabilities

  • How AI systems process data, learn patterns, and support decision-making

AI in Finance & the EU AI Act

  • AI applications in Financial Services

  • The EU AI Act (objectives, risk-based classification of AI systems, and compliance requirements)

The Market Abuse Regulation

  • Main issues with market abuse

  • Usual practices: insider dealing, market manipulation, and surveillance obligations

  • How AI systems can both mitigate and introduce market abuse risks

Practical Session: Statistics in Excel for Financial & Business Analysis

  • Essential statistical concepts using Excel, including descriptive statistics, distributions, correlation, and basic time-series analysis.

Basics of Algorithmic Trading

  • Fundamentals of algorithmic trading,

  • Important aspects: automated order execution, examples of algorithmic trading strategies, and the role of algorithms in modern financial markets.

  • Benefits and regulatory and risk considerations

Machine Learning Fundamentals

  • Core principles of machine learning,

  • Supervised and unsupervised learning

  • Model training, and evaluation

Applied Machine Learning in Finance

  • Forecasting

  • Classification

  • Pattern recognition

  • Model training and evaluation

Prompt Engineering, AI Agents & Business Applications (Co-pilot, ChatGPT)

  • Prompt engineering techniques for effective interaction with generative AI

  • Task-oriented interactions for tasks such as document analysis, summarisation, reporting, and decision support.

  • Hallucinations and how to guard against them

  • Practical examples

A Brief Introduction to Python

  • Introduces Python as a tool for data analysis in finance and business.

  • Participants are introduced to basic Python concepts for data handling and exploratory analysis

  • Focus on practical usage

AI Risk, Governance & Organisational Integration

  • AI-related risks

  • Governance frameworks

  • Integration strategies for generative AI

Who should attend

The programme is ideal for:

  • Compliance Officers

  • Professionals in financial or business analytics

  • Brokerage Departments staff

  • Analysts

  • Risk Officers

  • Portfolio Managers

  • Financial technology or AI project leads

Training Style

The programme is designed to deliver knowledge and enhance participants’ skills via short lectures, covering the regulatory perspective, case-studies which enlighten the audience about the applications of the new technology, practical examples, as well as real-life hands-on experience.

Knowledge Test

At the completion of the knowledge areas, participants will be assessed via the form of Multiple-Choice Questions which will consist of questions related to the material taught. The aim of the assessment is to examine participants’ overall understanding and knowledge of material taught, as well as their competencies in the implementation of practical cases.

CPD Recognition

This programme may be approved for up to 21 CPD units in Financial Regulation & Risk. Eligibility criteria and CPD Units are verified directly by your association, regulator or other bodies which you hold membership.

For the CySEC requirements, CPD units attained from this course should not exceed the 50% of the total CPD Units of each individual.

In-house Training

For groups within the same organisation, this course may be customised to meet any specific needs and delivered in-house.

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Facilitators

  • Nektarios Michail

    Nektarios Michail

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    Dr Nektarios Michail has more than 10 years of experience in the financial services industry, having worked at the Central Bank of Cyprus, the Bank of Cyprus, as well as a Cyprus CIF and an investment fund. Through his experience, Nektarios has obtained a hands-on experience with real-life economic analysis, with proven success in forecasting. He holds a PhD in Financial Economics from Cyprus University of Technology, and his research, covering variety of topics, has been published in several academic journals, as well as featured in the leading newspapers of Cyprus. He is currently employed by an Investment Fund while he is also an Adjunct Lecturer at the Cyprus University of Technology.

  • Kyriacos Neocleous

    Kyriacos Neocleous

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    Kyriacos Neocleous is a Director at K.N. Analytics Ltd, where he develops customised AI and machine learning solutions for financial and commodity markets. He began his career in banking in London, as a Quantitative Analyst at Credit Suisse and Standard Chartered, specialising in counterparty credit risk exposure modelling for derivative products — work grounded in stochastic modelling, simulation and regulatory capital requirements. He subsequently expanded into data science and applied machine learning at Argus Media, before founding K.N. Analytics. His recent work spans predictive modelling and forecasting for commodity markets, and generative AI systems that allow large language models to work directly with an organisation’s own documents and data. Since Fall 2024 he has also served as a Special Scientist at European University Cyprus, teaching artificial intelligence, decision science, mathematics and statistics. His published research includes work on neural network methods for identifying critical nodes in networks. He holds a BSc (Hons) in Actuarial Science and Mathematics from the University of Manchester, an MSc in Mathematics and Finance from Imperial College London, and an MSc in Artificial Intelligence from European University Cyprus.

Frequently Asked Questions

  • When will I receive my invoice?

    The invoice is issued on the day the course starts.

  • What payment methods are accepted?

    Payments can be made by bank transfer, cheque, or credit card.

  • When will my certificate be issued?

    Certificates are issued within 7–10 days after the course has been completed, provided that the invoice has been paid.

  • How can I access my certificate?

    Once your certificate has been issued, you will receive an automated email from Cademy notifying you that it is available.

    Click the Get Your Certificate button in the email to download your certificate.

    You can also access it from your Cademy account:

    1. Log in to your Cademy account from https://cademy.io/login 
    2. Click on My Account from the top-right corner.
    3. From the drop-down menu select My Courses and Bookings.
    4. Choose the relevant course.
    5. On the right-hand side of the Sessions section, you will see a table named either:
    • Your Order– if you booked the course yourself, or
    • Booked By – if the course was booked on your behalf.

    6. In either case, select Get Certificate at the bottom of the table

  • Where can I access the course material?

    To access the course materials, such as presentations and recordings:

    1. Log in to your Cademy account from https://cademy.io/login 
    2. Click on My Account from the top-right corner.
    3. From the drop-down menu select My Courses and Bookings.
    4. Choose the relevant course.
    5. Under Extra Details, you will find all the available course materials.
  • What is the HRDA?

    The Human Resource Development Authority (HRDA) of Cyprus is a semi-government governmental organisation that supports the development of workforce skills through training and development initiatives. Eligible training programmes approved by the HRDA may qualify for a subsidy, reducing the participation cost for eligible organisations and individuals, subject to the HRDA's terms and conditions.

  • Who is eligible for the HRDA subsidy?

    The HRDA subsidy is available to:

    • Companies registered in Cyprus that are applying for their employees.
    • Unemployed individuals who meet the eligibility requirements (see the FAQ below for required documents).
    • Self-employed individuals registered as self-employed in their ERMIS profile.

    To receive the subsidy, eligible persons must attend at least 75% of the course. 

  • What is the process for attending an HRDA-approved course?

    To attend an HRDA-approved course, you must:

    1. Register for the course through the EIMF website.
    2. Create the necessary ERMIS profile(s).
    3. Register for the course through ERMIS.
    4. Complete any additional HRDA requirements if you are applying for the subsidy as an unemployed or self-employed individual.
    5. Log onto ERMIS and check in through the relevant attendance register when you join the course session and check out when you leave each course session.

    See the FAQs below for detailed instructions.

  • What is ERMIS?

    ERMIS is the online platform of the Human Resource Development Authority (HRDA) of Cyprus, used for managing training programme registrations, participant details, subsidy applications, and attendance records. All participants attending HRDA-approved courses must have an ERMIS profile and use the platform’s attendance register to check in and check out during each course session. https://ermis.anad.org.cy/

  • Is an ERMIS profile required?

    Yes. ALL participants attending HRDA-approved courses must have an ERMIS profile, whether applying for the subsidy or not.

    • Companies applying for the HRDA subsidy for their employees:
    1. The company must have an ERMIS profile as a Legal Entity.
    2. The company must have their Employer role approved on the ERMIS system.
    3. Each participating employee, as well as a company authorised person and the company’s director, must have an ERMIS profile as a Natural Person
    4. The employees' and representatives’ profiles must be linked to the company's ERMIS profile.
    • All Individuals: 
    1. Must have an ERMIS profile as a Natural Person.

    You can create or access your ERMIS profile here: https://ermis.anad.org.cy/

  • How do I register for an HRDA-approved course through ERMIS?

    After booking your course through the EIMF website, you must also register through ERMIS, provided that the required profile(s) have already been created.

    • If you are registering as an individual:

    You must register through your personal ERMIS profile.

    • If a company is applying for the HRDA subsidy for its employees:
    1. Registration must be completed through the company’s ERMIS profile.
    2. The company profile used for registration must match the payroll company where each participant is employed.

    For example: If your organisation includes multiple companies, make sure each participant is registered under the correct company profile.

    Around one week before the course starts (or immediately after booking if you register less than one week before the course), we will email you the HRDA course details and instructions on how to complete your ERMIS registration.

  • What documents do unemployed individuals need to apply for the HRDA subsidy?

    When registering for the course through ERMIS, you must upload both of the following documents obtained from the Public Employment Service:

    1. A referral for participation in HRDA Multicompany courses (Παραπεμπτικό για Πολυεπιχειρησιακά Προγράμματα της ΑνΑΔ).
    2. An ES19 form confirming that you were unemployed from at least the course start date.
  • What do self-employed individuals need to do to apply for the HRDA subsidy?

    You must update your ERMIS profile:

    1. Log in to your ERMIS profile and select the Self-employed role from the available roles.
    2. Complete and submit the request.
    3. Once your request has been approved, you can register for courses and apply for the HRDA subsidy as a self-employed individual.

    When submitting your request, you must upload one of the following:

    1. A confirmation letter from the Social Insurance Services confirming acceptance of your registration as a self-employed person.
    2. A Confirmation letter from the Social Insurance Services confirming your self-employed status.
    3. Proof of payment of Social Insurance contributions for the most recent quarter (available through SISnet). 
  • Is the check-in and check-out process in ERMIS mandatory?

    Yes. All participants must log onto the ERMIS system and check onto the attendance register when they join a course session and check out when they leave a course session, as HRDA records attendance.

    To receive the subsidy, eligible persons must attend at least 75% of the course. Check-ins and check-outs reflect actual attendance.