Risk & Assurance Advisor – Internal Audit & Data Analytics

UK Power Networks; London Borough of Southwark; Hybrid; GBP 65,000 - 80,000; Full time

Benefits offered by this job

25 days annual leave plus bankholidays

Reservist Leave - 18 days full pay and

Personal Pension Plan - 4% or 5%, UKP

Tenancy Loan Deposit Scheme

Season Ticket Loan

Tax-efficient benefits (Cycle to Work,

Home & Tech and Green Car Leasing

Occupational Health support

Switched On - retailer discounts

Discounted gym membership

Employee Assistance Programme

Job summary

UK Power Networks is seeking a Risk & Assurance Advisor based in London. You will help identify, assess and manage risk, support regulatory compliance and strengthen internal controls across the organisation.

Reporting to the Risk & Assurance Manager, you will lead assurance assignments, produce quarterly information for shareholders, build strong relationships with senior leaders and explore innovative techniques, including data analytics and responsible AI.

Qualifications

• Experience in internal audit or a closely related assurance, risk or compliance role.
• A relevant professional qualification, degree or equivalent practical experience in audit, risk, compliance, finance, accounting, business or a related area.
• Ability to plan and deliver assurance work with appropriate independence, structure and attention to detail.
• Clear written and verbal communication skills, including the ability to produce concise and meaningful reports.
• Ability to build effective working relationships and influence constructively, including when discussing sensitive topics.
• Sound judgement, integrity and a commitment to ethical working.
• A collaborative approach and willingness to work across Internal Audit, Enterprise Risk, Regulatory Compliance and Fraud Investigations.
• Ability to identify opportunities for improvement and turn findings into practical recommendations.
• Confidence working with senior leaders and a range of internal and external stakeholders.
• Experience in the utilities, energy or industrial sectors.
• Understanding of operational risk and working in a regulated environment.
• Experience of fraud investigations or regulatory compliance processes.
• Experience using data analytics within audit or assurance work.
• An interest in the energy industry and the UK's transition to net zero.

Responsibilities

• Lead a varied portfolio of internal audit and assurance assignments, delivering clear, proportionate and high-quality outcomes.
• Assess risks and controls across the organisation and use evidence and professional judgement to agree practical recommendations.
• Produce accurate and timely information for quarterly reporting to shareholders on Risk & Assurance activity.
• Build constructive working relationships with colleagues at all levels, including senior leaders, and with relevant external stakeholders.
• Work across the wider Risk & Assurance team to identify opportunities for effective and efficient integrated assurance.
• Use data analysis to strengthen assurance work and support the responsible and safe use of AI.
• Explore and test new assurance techniques where they can improve quality, insight or efficiency.
• Communicate sensitive or complex findings clearly, respectfully and confidently.
• Contribute to continuous improvement across the Risk & Assurance team and the wider organisation.

Skills

Internal audit

Risk management

Data analytics

Regulatory compliance

Stakeholder management

Communication

Ethical working

Education

Professional qualification in audit, risk, compliance, finance, accounting, business or related area

Job description

UK Power Networks is seeking a Risk & Assurance Advisor based in London. You will help identify, assess and manage risk, support regulatory compliance and strengthen internal controls across the organisation.

Reporting to the Risk & Assurance Manager, you will lead assurance assignments, produce quarterly information for shareholders, build strong relationships with senior leaders and explore innovative techniques, including data analytics and responsible AI.