During your apprenticeship with Funds-Axis, you will gain experience both in finance (specifically global investment management) and in Tech.
Some of the areas you will get exposure to are summarised below.
Financial Services
Financial Data
Fund Management Regulation
Risk, Compliance and Regulatory Reporting
Work with large global financial services companies
Tech
Big Data
Cloud Architecture
World Class DevOps
Cyber Security
AI, NLP, and Machine Reading
Product design and User experience
Below is an outline of the areas of experience that you can expect to get exposure to in the course of your apprenticeship.
You will also develop real working experience, develop your communication and leadership skills and gain strong industry knowledge.
During 1st & 2nd year - As a member of our Data Operations team, you will get experience working with a wide range of financial data and the importance of data quality management. You will gain an understanding of secure data operations and hands-on experience with AI and ETL tools.
During 3rd year - Working with our Data Analytics team, you will gain experience with data analytics and Business Intelligence. Working with our DevOps teams, you will gain an understanding of modern cloud DevOps and architecture monitoring.
During 4th year - You will gain knowledge of cyber security and of technology management, including product development, testing and release management in an ISO-compliant environment. You will have the opportunity to get involved in new product development and the end-to-end process of bringing new products to market.
Person Specification
Excellent communication skills
Excellent analytical skills
Good hands-on Microsoft Excel, and Word.
Willingness to learn and take on new challenges
Good coordination and interpersonal skills.
Applicable courses
Whilst you are applying to an employer through Workplus you must apply directly to the training providers to secure your place on the apprenticeship course.
Financial TechnologyUlster University
Description
About
This programme offers an equal focus on finance and technology through extensive use of work-based learning and practical application. It aligns to the growing needs of the FinTech sector.
The Ulster University Business School has developed the BSc Hons Financial Technology, working in partnership with employers, developing a programme which offers students the opportunity to take this degree as part of a Higher Level Apprenticeship Scheme.
Recruitment to this programme for Higher Level Apprenticeship funding, is conducted through the University and jointly with employers. Otherwise, for direct entry self-funding students, recruitment is conducted solely by the University.
Real World Experience:
Opportunities to learn from local practitioners and visiting lecturers who will bring real-world experience to the classroom.
Apply the skills you learn on the course to your workplace projects and vice versa.
Earn as you learn – you can work 4 days and attend university 1 day per week.
Attendance
The programme is delivered over an academic year part-time, through lectures, seminars, practicals and independent study. Classes, though, will typically take place on a Friday during the day. Some flexibility may be necessary.
Modules
Year one
Problem Solving for Computing
Year: 1
Computer programming is a fundamental skill expected of computing graduates. This module will introduce students to the foundational concepts of programming via Python that will be used as building blocks in future modules. Students will also develop and enhance their problem solving skills as an integral part of the module.
Programming II (Javascript)
Year: 1
Computer programming is a fundamental skill expected of computing graduates. This module will introduce students to the object oriented concepts of programming that will be used as building blocks in future modules. Students will also develop and enhance their problem solving skills as an integral part of the module.
Financial Mathematics and Statistics
Year: 1
This module develops students' quantitative skills and provides the building blocks for subsequent quantitative analysis.
Business Analysis Foundations
Year: 1
This module is to address the range of concepts, approaches and techniques that are applicable to Business Analysis. It is to provide an overview of the role of the Business Analyst who acts as the link between business needs, stakeholders and I.T. within change initiatives.
Year two
Introduction to Database Systems
Year: 2
Database management is a fundamental skill expected of Computing and Business graduates. This module will introduce students to the fundamental concepts of database design, implementation, querying and management of relational database systems.
Financial Institutions and Markets
Year: 2
To provide students with an overview of the financial system. It seeks to develop students' understanding of financial markets, institutions and the environment within which they operate.
Financial Modelling
Year: 2
The primary objective of this module is to provide an introduction to econometric theory and techniques especially linear regression analysis, hypothesis testing and application with financial time series. With extensive use computer packages such as Python or Microsoft Excel students will be able to use real data to analyse financial models. This module emphasises the role of econometrics in supporting evidence-based decision making.
Business Analysis in Practice
Year: 2
This module is to provide students the opportunity to put their foundation-level knowledge into practice. This is to help develop skills and knowledge to support successful business change programmes within an organisation.
Year three
Behavioural Sciences
Year: 3
This module is designed to enable students to acquire diagnostic knowledge and understanding of human behaviour in organisations. Additionally, students are required to become proficient in the practice of key management competencies.
Human Computer Interaction
Year: 3
Human-Computer Interaction is an important topic given that there is a number of novel and emerging user interfaces being developed. More than ever, there are also user demands and expectations for intuitive and usable user interfaces. This module will provide a foundation for user experience researchers and analysts.
Principles of Investing
Year: 3
This module provides students with the necessary knowledge and skills to understand the relevance and importance of functioning financial markets, develops knowledge of the global financial services industry, financial assets and investment products and to critically evaluate competing and complementary trading and investing styles.
FinTech and Disruptive Innovation
Year: 3
This module considers the financial inclusion and reshaping of financial instruments through disruptive technologies. The module will take a dynamic approach to allow understanding of, for example, cryptocurrency and blockchains, RegTech, the FinTech revolution, cyber-security and data protection and regulatory issues. It will also provide: an understanding of how data science is at the core of transformation of the financial sector; and an insight into AI and machine learning.
Year four
Data Analytics
Year: 4
In the era of cloud computing and big data, this module will provide students with the theory and practical foundations for undertaking real world data analytics.
Artificial Intelligence
Year: 4
The AI module is built on the foundations in mathematics, computing and programming. It covers logic based symbolic AI, knowledge representation and reasoning, introduction to machine learning paradigms and advanced learning methods of reinforcement and deep learning, and real-world applications in different human-AI interactions. The module will answer the following three questions: (1) how to formulate AI problems conceptually; (2) how to turn the conceptual formulations into algorithms; (3) how to develop AI-focused applications. The module will also consider societal and theoretical concerns raised while designing and deploying AI solutions regarding the ability of people to understand, interpret, control, and interact with AI-based systems.
Regulation and Ethics
Year: 4
This module provides an understanding of the regulatory compliance issues critical to a role in financial services in the 21st Century.
Behavioural Finance
Year: 4
The module aims to provide students with a knowledge and understanding of theoretical and empirical limitations of traditional finance theory and presents the foundations of behavioural finance. Students will have the opportunity to explore the opportunities for behavioural investing and systematic trading model design and be able to evaluate different trading models.
Financial Technology Innovation Project
Year: 4
This module will serve as an integrating mechanism for all other modules on the degree programme, as well as developing powers of analysis and evaluation and project management skills. Through this module, students will also develop knowledge and skills in research methods, and consultancy tools and techniques in preparation for completion of their applied technology management project which will add real value to their host organisation.
Award
BSc (Hons)
Validated By
Ulster University
Eligibility
18+ Fully Funded
Entry Criteria
A level
A level grades BCC if including A level Mathematics or
A level grades BBC if not completing A level Mathematics
Applied General Qualifications
Overall BTEC level 3 QCF Extended Diploma with profile DDD
OR
BTEC Level 3 RQF BTEC Extended Diploma with profile DMM
You may also meet the course entry requirements with combinations of different qualifications to the same standard (provided subject requirements are met). Examples of combinations include:
A levels with BTEC Level 3 QCF Subsidiary Diploma or BTEC RQF National Extended Certificate
A level with BTEC Level 3 QCF Diploma or BTEC Level 3 RQF National Diploma.
For further information on the entry requirements for this course please contact the administrator as listed in Contact details.
Irish Leaving Certificate
112 UCAS tariff points to include a minimum of four subjects at Higher level and one subject at Ordinary level. The overall profile must include English at minimum H6 at Higher Level or Grade O4 at Ordinary level plus Maths at minimum H5 at Higher level or Grade O3 at Ordinary Level.
OR
104 UCAS tariff points to include a minimum of four subjects at Higher level and one subject at Ordinary level. The overall profile must include English at minimum H6 at Higher Level or Grade O4 at Ordinary Level. One Higher Level subject must include minimum Grade H4 from Higher Maths.
Irish Leaving Certificate UCAS Equivalency
View tariff point chart
Scottish Highers
The Scottish Highers requirement for this course is grades BCCCC to include a grade B in Higher Mathematics or grades BBCCC if not completing Scottish Highers Mathematics.
Scottish Advanced Highers
The Scottish Advanced Highers requirement for this course is grades CDD to include a grade C in Advanced Mathematics or grades CCD if not completing Advanced Mathematics.
International Baccalaureate
Overall International Baccalaureate profile minimum 25 points (12 points at higher level).
Access to Higher Education (HE)
Overall Access profile of 63%. To include a 20 credit Level 2 Mathematics module, passed at 60% or successful completion of NICATS Mathematics as part of the pre-2021 Access Diploma.
GCSE
GCSE Profile to include Mathematics with a minimum grade C*/5
GCSE Profile to include English Language with a minimum grade C/4
English Language Requirements
English language requirements for international applicants The minimum requirement for this course is Academic IELTS 6.0 with no band score less than 5.5. Trinity ISE: Pass at level III also meets this requirement for Tier 4 visa purposes.
Ulster recognises a number of other English language tests and comparable IELTS equivalent scores.
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