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    EMDec23-Audit-Digital Audit-Data Acquisition - London, United Kingdom - Taleo BE

    Taleo BE
    Taleo BE London, United Kingdom

    3 weeks ago

    Default job background
    Description

    Line of Service

    Assurance

    Industry/Sector

    Not Applicable

    Specialism

    Assurance

    Management Level

    Senior Associate

    Job Description & Summary

    Closing Date: 4pm 15 December

    Qualification: No ACA qualification is required for this role

    Location: London, Manchester

    About the team & role

    We combine passion and humanity with the latest technology. As our world continues to evolve, so do we. Having a responsive and bold technology strategy is key to remaining relevant with our clients. But we don't just invest in the latest technologies, we help to create them with our unique ecosystem of technologists, working together to solve complex business problems in ways that benefit clients and society. It's work with purpose and it drives us to innovate. We're at the forefront of change, driving technology and skills and investing in our people and our purpose.

    Digital Audit is a specialist team within our Audit practice that combines a mix of technology, data, business and accounting expertise to how we audit clients across all industries. There are two sides to Digital Audit which include; using our latest tools to help digitise the way we deliver audits through automation, AI, data analytics and innovation - known as Digital Auditing. The other side is Auditing Digital which involves auditing our client's technology to give them assurance that security and controls are in place. This includes infrastructure, Cloud, and applications.

    As part of the team you'll have the opportunity to work with a variety of clients, industries and technologies and you'll develop the business skills, knowledge and relationships you need to build a career that's more than just numbers. We're constantly investing in audit technology and the skills of our people to keep up with the rapid pace of change and to deliver trust that is deeper, broader and more forward-looking.

    What we do

    Technology is now at the heart of how our clients deliver their services. The complexity of systems, increasing use of data and the continuous investment in technologies by our clients, creates new challenges, but equally, opportunities, as to how we assess our client risks and build trust in society.

    As an audit practice, we invested significantly in innovative technology to understand how our client's processes, technologies and systems operate in order to provide a fair view on how they address their risks.

    The I&D (Innovation & Data) team is part of the larger UK Audit practice. We provide and develop the innovation initiatives across a large array of our audit clients. We do this through the implementation of robotics, AI, machine learning and advanced analytics tools, leveraging the best technologies currently on the market.

    The team works with audit clients and internal audit stakeholders to generate crucial insights and find patterns in data to match with our understanding of client risk assessments.

    We also build scalable automated solutions for existing audit processes across an array of industries. We often assure that information and data provided to the audit practice is accurate, complete, and can be trusted.

    Responsibilities

    The I&D team is a high performing and diverse team that leads the way in the implementation of advanced technologies within the PwC UK audit practice. As a trusted specialist, you will advise senior stakeholders on ways to automate and reimagine audits, implementing innovative technologies, such as Python, R, SQL, Alteryx, Power BI, Process Intelligence and Machine Learning. Building a strong understanding for the role data and analytics plays in the modern day audit.

    You'll get to work on technical assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you'll develop the technical, business and soft skills around the topic of data and analytics that our clients are demanding today.

    As the leading analytics function in the PwC UK audit practice, you'll get to work closely with audit clients across a broad range of industries (e.g. banking, insurance, asset and wealth management, oil and gas, manufacturing and telecoms).

    Essential skills and experience

    • To be considered you must be able to demonstrate experience working in a data role, covering multiple of the following disciplines
    • Scope of work is to carry out audit of financial statements using data analytics and technology
    • Apply knowledge of existing audit methodologies
    • Liaison with audit teams and audit clients to develop innovative approaches
    • Data transformation and modelling (e.g. pandas and scikit-learn in Python);
    • Data storage and querying (e.g. SQL, Alteryx, Python);
    • Data visualisation experience (eg PowerBI, Tableau)
    • Understanding of common data quality issues and they effect they have on machine learning models;
    • Data cleansing and manipulation for machine learning (e.g. feature engineering);
    • Robotics experience eg UI Path;
    • Experience and be able to demonstrate finance/accounting understanding;
    • Experience with financial / general ledger data;
    • Knowledge of the current data science software platforms.

    To be successful in this role you will need to demonstrate the following

    • The ability to come up with creative solutions to complex problems;
    • Good audit knowledge and understanding of the audit process
    • Experience working and leading a team and on listed/multinational clients
    • Exceptional analytical and technical aptitude;
    • Exceptional attention to detail;
    • The ability to manage time, prioritise tasks and work under tight deadlines;
    • Ability to coach and support team members;
    • Concise and clear communication when presenting and explaining results and findings.
    • Client relationship-building and management skills
    • Experience in working in complex environments
    • Experience in coaching junior colleagues and an interest in developing others
    • 2:1 university degree in any subject with an interest in data analytics, machine learning, data science, data mining & coding

    Education (if blank, degree and/or field of study not specified)

    Degrees/Field of Study required:Degrees/Field of Study preferred:

    Certifications (if blank, certifications not specified)

    Required Skills

    Optional Skills

    Desired Languages (If blank, desired languages not specified)

    Travel Requirements

    Not Specified

    Available for Work Visa Sponsorship?

    Yes

    Government Clearance Required?

    No

    Job Posting End Date

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