Manager, FC Risk Analysis and Discovery

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HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Manager, FC Risk Analysis and Discovery

Financial Crime

• The Financial Crime (FC) Function is a Second line of defence (LOD) function that includes ”Risk Stewards” who are independent of the commercial risk-taking activities undertaken by the Group’s businesses (also referred to as “the First LOD” or “FLOD”). The FC Function also operates a set of critical controls on behalf of the FLOD by harnessing intelligence, analytics, technology, detection and investigation. The Risk Stewards are responsible for reviewing and challenging all the activities of the FLOD to ensure that, as “Risk Owners”, they effectively manage the FC risk inherent in, or arising from, the conduct of their activities and for which they are responsible. FC inancial Crime risk is a non-financial risk that includes fraud, money laundering, bribery and corruption, sanctions violations, terrorist financing, proliferation financing, export control violations and tax evasion. The FC Function operates in accordance with HSBC Group’s Risk Management Framework (RMF).
• The Manager, Risk Analysis & Discovery will play an integral role in delivering this strategy. Through a combination of practical operational experience of key processes such as Investigations and Risk Assessment, utilising financial crime risk subject matter expertise (SME), an understanding of the financial crime regulatory landscape, and knowledge of HSBC matrixed operating model, this person will ensure the Risk Analysis & Discovery operating model is highly effective. Critical to the success of the role will be an ability to engage with stakeholders across various risk SMEs globally and regionally to ensure that the RAD meets the on-going needs and requirements of all the key stakeholders.
• The role is a key risk management role with a targeted remit and responsibilities including, but not limited to:
• Being an active part of the Analytics team, assessing and articulating potential risks to HSBC from existing and emerging financial crime threats, actors and typologies across all financial crime types.
• Support the group and regional RAD team, Complex and Major investigation team through data science and analytics with analytical insights
• Be responsible for the identification of emerging risk and issues through use of the output from the transaction monitoring and financial crime case investigations.
• Play a key role in designing and production of Risk Coverage control reporting across markets for detection controls such as DRA/GSNA.
• Articulate insights by producing high-quality and timely written reports in line with the Risk Analysis and Discovery Framework.

To be successful you will:

• Functional knowledge on financial crime, typologies, model risk policies etc to support RAD priorities
• Technical expertise to extract data and analysis and be comfortable with Python, SQL, ML, visualization, cloud etc.
• Highly skilled in data analysis: interpretation and transformation of data sets, delivering intelligence insights from raw data and producing effective and innovative data visualisations.
• Exceptional written and verbal communications skills with extensive experience translating complex findings from disparate sources into actionable and relevant insights for stakeholders and decision makers.
• 1+ years of Experience within a regulatory, investigative or intelligence agency, or as a compliance or technology manager within a global firm, in the financial services industry
• An understanding of how technological tools are deployed to detect FC, including how these tools are used to improve alert volumes and risk coverage
• A basic understanding of how machine learning and AI techniques are deployed to improve control operations
• Ability to understand and interpret data and communicate highlights in a succinct way, to varied audiences including senior management.

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