Technology Risk Manager - Oracle Controls

London
1 month ago
Applications closed

Related Jobs

View all jobs

Quantitative Risk Manager

Senior Planning Engineer

Senior Clinical Data Manager

London Facilities Manager (5 days onsite)

Data Governance Manager

Quantitative Developer - C#

Technology Risk Manager (Oracle Controls)

London or Birmingham

£55,000 - £74,000 + bonus

Hybrid, 2 days a week

Lorien is recruiting a Technology Risk Manager specializing in Oracle Controls on behalf of a leading global consultancy. The role is based in London or Birmingham and can be worked on a hybrid basis (2 days/week in office).

In this role, you will be part of the Technology Risk Consulting Corporates team, focusing on ERP & Business Systems. You will provide assurance, advice, and attestation on ERP Business Management systems, specifically Oracle controls, and implement GRC or data analytical solutions.

Projects include ERP audits, process control, optimisation, security, data analytics, and ERP-related GRC, delivered through stand-alone assignments or internal audit engagements

This is a growing team who are in the early stages of their expansion, allowing a great opportunity for career development and growth. They are a diverse team who are engaged socially and take pride in their success.

There is also an opportunity for international travel for those who are interested - with clients in the Middle East and Europe, though is entirely optional.

What will you be doing?

Leading multiple Oracle assurance and/or advisory engagements.
Managing the overall output from client engagements.
Overseeing scoping, financial management, delivery risk, production, and review of deliverables.
Building and managing networks and client relationships (CIO, CFO, Head of Internal Audit).
Developing internal networks and promoting the ERP & Business Systems capability for Oracle.
End-to-end lifecycle of controls, starting with the design of controls.
Design of controls during new system implementations.
Embedding controls, helping with control procedures, and managing process management services for testing controls.
Remediating controls in case of issues or failures.

Role Requirements:

Experience in Oracle business analysis and understanding of core financial business processes (procure to pay, record to report, order to cash, etc. within an Oracle environment).
Experience of core ERP and/or business systems - Oracle.
Functional experience of Oracle GRC, Financials.
Functional experience of Oracle Release 12 essential and advantage of Oracle Fusion experience.
Experience of using Oracle data analysis tools.
Mixture of technical and control level skills.
4+ years of experience in Oracle + Controls.

Skills we'd love to see/Amazing Extras:

Proven experience in identifying and developing sales opportunities.
Strong people management skills.
Excellent communication skills (both written and oral) and first-rate interpersonal skills at all levels.
Ability to present on specific subjects to a large group of people (both internal and clients/potential clients).
Ability to break down Oracle technical data analysis into accessible business terms, which express clear opinions to all levels and are applied to the wider business environment.Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.