Workday Finance Specialist - London

Where

City

Type

Contract

Salary

800 Daily

Workday Financial Specialist

Rate - 800 (A day)

Duration - 12 Months (Initially)

Location - London (Hybrid)

IR35 - Inside (Must use an umbrella company)

Key responsibilities

  • Collaborating with finance SMEs, HR, operations, and IT stakeholders to understand needs and challenges
  • Translating business requirements into prioritised product backlog items
  • Defining user stories, testing, acceptance criteria, and product specifications with the development team
  • Managing a clear and up-to-date product backlog
  • Owning the long-term product roadmap and strategic direction
  • Improving Workday Financials and other systems through user research and data analysis
  • Own and deliver system engagement plan, ensuring training materials in respect of financial systems are developed and kept up to date and delivering training to end users.
  • Identifying automation opportunities in current business processes
  • Monitoring and reporting on process efficiency and data quality
  • Championing improvements to self-serve reporting and dashboarding
  • Fostering a collaborative and agile product team environment
  • Implementing small change and records management

To be considered for this role, you'll need to show us that you've got the skills and capabilities. You'll have to meet the following minimum criteria:

Minimum Criteria

  • Extensive experience as a super user in Workday Financials, with exposure to other finance platforms is necessary
  • Strong understanding of financial systems and processes.
  • Proven track record of delivering projects on time and within budget.
  • Excellent interpersonal skills for engaging with both technical and non-technical individuals.

Desirable Criteria

We would also like you to have the following skills:

  • Strategic thinker with a big picture perspective for systems and processes
  • Excellent analytical and problem solving skills, with experience in structuring and manipulating large datasets
  • Good understanding of the wider market, latest trends and challenges

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Job Title: Machine Learning Engineer Location: London (1 days per week onsite) - Flexible Salary: 45,000 DOE + BenefitsOur Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely suit someone with previous experience in a similar role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. A FTSE 250 company, they combine expertise and insight with advanced technology and analytics to address the needs of over 1,400 schemes and their sponsoring employers on an ongoing and project basis. We undertake administration for over one million members and provide advisory services to schemes and corporate sponsors in respect of schemes of all sizes, including 88 with assets over 1bn. We also provide wider ranging support to insurance companies in the life and bulk annuities sector. The Team The client is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. The Role As a Machine Learning Engineer you will:

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