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Role: Financial Crime Senior Compliance Manager AVP - Business Oversight Compliance
Location: Hybrid - London 3/4 days per week onsite
Start: ASAP
Duration: Until 31/12/2025 with likely extension (inside IR35 via payroll company)
The Role
Oversight of the firms financial crime compliance and risk management approach. Ensuring the business effectively mitigate the risks of products and services being abused for the purposes of money laundering, terrorism financing, or other financial crime.
Your day-to-day activities will include:
- Support the Heads of Financial Crime in the management and oversight of control issues across their respective business lines, providing adequate check and challenge of control issues and associated mitigating actions.
- Represent Financial Crime Business Oversight Compliance in key strategic programmes of work such as One Risk Assessment. Drive consistent approach and quality of check and challenge across BOC.
- Deliver control environment insights into through Key Risk Indicators and ORACs.
- Support the implementation of updates to Group Policy and Standards, including the identification of policy snags.
- Understand the varying inherent risk profiles for each business line and provide guidance on control implementation/remediation proportionate to the business risk.
- Drive consistent approach to local uplifts, influencing regional peers and businesses.
- Through check and challenge, enhance the articulation quality of financial crime related issues.
- Identify thematic trends with respect to control environment through data analysis of issues, key risk indicators and other management information.
- Production of financial crime related management information.
Stakeholder Management and Leadership
- Capable of building and maintaining productive, collaborative and positive working relationships with the colleagues in the first and second line of defence (other Financial Crime SMEs). The individual will however need to a strike a careful balance and be comfortable in holding an independent yet and objective stance when necessary. The individual should be comfortable in providing advice that will ultimately enable an appropriate and measured approach to the issue/case/risk at hand.
- Initiates early engagement with key stakeholders to ensure effective partnership with the business which includes openness to giving and receiving challenge at all levels. Provides guidance to the Business where collective action (where controls are allocated appropriately between the 1LOD controls with oversight from FC specialists) result in a stronger risk and control environment.
- Be comfortable in influencing a variety of stakeholders across 1LOD and 2LOD, utilising data insights to support their case.
Decision-making and Problem Solving
- Highly analytical with the ability to analyse large volumes of data and information to make a sophisticated and informed assessments of risk.
- Ability to operate and drive activity autonomously or collectively as a team. Be able to consider multiple options from different perspectives in order to identify pragmatic and effective solutions.
- Articulate rationale for risk based decisions, ensuring clear and concise assessment of risk.
Risk and Control Objective
- Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Policies and Policy Standards.
Experience & Skills Required
- Strong SME across Financial Crime regulation, guidance and risk mitigation strategies.
- Understanding of different business segments and the associated financial crime risks.
- Creative and forward thinking, striving to improve and find solutions through effective innovation and ability to manage project and programmes of work end to end.
- Highly organised and structured with excellent written communications skills
- Skilful co-ordination in working across a wide range of stakeholders both within and beyond the function
- Strong analytical skills, with the ability to identify themes and trends from large volumes of data.