Work+

Applicant
Employer

Data and Systems Analyst Apprentice (Financial Technology) 3173

  • Employer Profile

    3173

  • Apprenticeship Type

    Financial technology > Level 6

  • Positions

    2

  • Location

    The Linen Loft, 27 - 37 Adelaide Street, Belfast, BT2 8FE

  • Salary

    £21,250

  • Start date

  • Location Type

    Hybrid

Job Description


Do you want to start an apprenticeship that will provide you with:

  • The opportunity to gain a 3rd level qualification while working in a supportive environment

  • A structured training plan which will help you grow your knowledge and drive your career

  • Your own personal development plan to support you as you grow with our busy and successful organisation

  • A challenging environment in which you can develop both personally and professionally

  • A competitive salary and excellent benefits package

If so, this is the role for you.

Key Responsibilities

We can offer you an apprenticeship opportunity that is the first step in a rewarding career.

A key part of the role is transitioning new clients (i.e. trust-based occupational pension schemes) onto Mantle, our bespoke in-house software. This process includes working with legal to determine scheme benefits which are then coded onto the system alongside underlying scheme data. Everything is then fully tested before being released to our client teams in order to service all aspects of the pension scheme membership. On an ongoing basis the scheme data and benefits are analysed and updated as the scheme members proceed on their journey from scheme entry through to ultimate retirement.

As a Data and Systems Analyst Apprentice you will:

  • Become competent in the use of our bespoke in-house software Mantle;

  • Maintain and develop business systems;

  • Receive training on data management including installation and auditing;

Circumstances

Working hours: Monday to Friday, 37.5 hours per week with additional hours as and when required.

All roles are subject to a six-month probationary period and all prospective employees are required to complete an Access NI check.

As part of the pre-hire process the successful candidate will be subject to reference checking security vetting.

3173 is an Equal Opportunity Employer.

Person Specification


We recruit the best, and are looking for the future influencers of our industry. You will need to be innovative, driven and want to make an impact in our organisation. We will provide you with a supported environment to implement the learning from your apprenticeship.  

We are looking for candidates who are intelligent, ambitious and great at working with people. You should enjoy solving complex problems and be interested in the financial services industry and areas affecting it. You will be well organised and proactive, calm under pressure and have the ability to communicate well at all levels (written and verbal). 

You will be a conscientious individual with exceptional attention to detail and the ability to think critically and logically.

Essential Criteria

  • A Level (or equivalent) Mathematics grade B or above

  • GCSE (or equivalent) grades A – C in Mathematics and English

  • Excellent IT Skills and proficient in Microsoft Packages, i.e. Word, Excel

  • Experience of working pro-actively and using your own initiative to complete tasks

  • Excellent verbal and written communication skills

Applying with a disability or long-term health condition?

As part of our belief that we benefit from the differences among us we are committed to increasing the representation of disabled colleagues and want to remove any barriers or challenges that get in the way of candidates with a disability or long-term health condition from applying to work with us.

If there is support or an adjustment that we can provide to enable you to be at your best during the recruitment and selection process, we encourage you to advise us in good time so that we may make suitable arrangements.  We understand that being open with us may feel uncomfortable so please only share with us the information that you are comfortable to share, and rest assured that we will use this only to provide you with the right support. Any information you give us will be treated completely confidentially.  To discuss this further please call 028 9041 2000 and ask to speak to a member of the HR team.

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.

Duration

4

Start Date

Thursday 12 September 2024

End Date

Monday 26 June 2028

Progression Pathway

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