Lam/Mx Manager Financial Crime Analysis

We are currently seeking an experienced professional to join our team in the role of

LAM/MX Manager FinancialCrime Analysis

Role purpose
As part of the Risk Analysis and Discovery team within the LAM region you'll be a key point of accountability for financial crime:related research, intelligence collection, analysis and dissemination. You'll combine qualitative insight with quantitative analysis of large and complex datasets to assess HSBC's exposure to financial crime threats including money laundering, terrorist financing, fraud, bribery and corruption, sanctions and other emerging risks.

You'll produce timely, accurate and actionable intelligence for a range of audiences including senior management, Investigations, the Lines of Business and where appropriate regulators. A key focus is proactively identifying emerging threat themes and clearly articulating their potential impact on HSBC's customers, products, services and reputation.

What'll you do

:Develop timely intelligence and analysis to identify, understand and enable remediation of financial crime threats in support of FC Investigations and the 1st and/or 2nd lines of defence.
:Design, develop and maintain data analysis queries, models and analytical approaches to identify patterns, trends, anomalies, relationships and indicators linked to financial crime.
:Build and maintain an analyst production plan translating stakeholder priorities and intelligence requirements into clear analytical objectives and deliverables.
:Monitor emerging criminal trends, typologies, international sanctions, regulatory developments, geopolitical events and other external factors that may impact HSBC's financial crime risk profile.
:Ensure analysis reflects regional and global impacts of financial crime and is joined up with a global perspective.
:Identify and succinctly communicate financial crime threat themes to senior audiences including potentially board:level audiences.
:Partner with key stakeholders and multi:disciplinary project teams to shape and translate priority intelligence requirements into deliverable analytical objectives.
:Contribute typology insights to support typology:driven data analytic models and tools.
:Follow operational controls, procedures and policies to ensure risks are identified and managed.
What youll need to succeed

:A degree (or equivalent) in a relevant discipline such as economics, international relations, data science, security, intelligence analysis or a related field. A postgraduate qualification in intelligence analysis, security or data science is desirable.
:3 to 5 years' experience (desirable) in data analysis applied to intelligence, financial crime prevention, anti:money laundering, compliance, national security or a related discipline.
:Experience in financial services or within a security, intelligence or law:enforcement organisation (highly valued).
:Strong qualitative and quantitative analytical, critical:thinking and problem:solving skills with the ability to turn complex information into clear, concise and actionable conclusions.
:Experience interpreting and transforming large datasets, developing analytical queries or models, extracting intelligence insights from raw data and producing effective data visualisations.
:Advanced experience with SAS, Python, SQL and Excel. Power BI or Tableau is desirable.
:Excellent written and verbal communication skills with meticulous attention to detail and the ability to tailor messages for senior audiences.
:Knowledge of financial crime themes such as sanctions evasion, money laundering, terrorism financing, fraud and/or bribery and corruption.
:Experience of the research cycle and qualitative analysis of geopolitical and other strategic themes (desirable).
:Strong attention to detail, results focus, intellectual curiosity, adaptability and the ability to manage multiple priorities under pressure.
:Professional:level English is required. Proficiency in additional l