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Global Risk Analytics (GRA) provides cutting-edge tools to help manage risk and ensure compliance with both our internal policies and the requirements of our regulators. Our objectives are:
Build and manage tools (models) to meet business/client needs.
Ensure and support regulatory compliance of all internal models.
Be the first line of defence in model risk management for all risk and compliance models.
Provide end-to-end management of the models' lifecycle, ensuring governance, control and appropriate usage.
The resulting reports produced by the model contain the predictions or estimates to inform business decisions.
Financial Crime Risk Analytics support Financial Crime Risk (FCR) in identifying potential cases of Financial Crime activity for review. The team establish, implement and maintain global standards for effective transaction monitoring, sanctions name screening, and enterprise-wide risk assessment. Financial Crime Risk Analytics is highly technical and fast-developing owing to the regulatory pressures and the level of competition in financial markets. GRA FCR employees are adaptable and continue to develop their understanding of the risk landscape through innovation and high level of technical leadership.
In this role you'll use tools including Hive, Ayasdi, Hadoop, R, Python, and SAS to support the development and deployment of Transaction Monitoring models.
In this role, you will:
Be responsible for supporting the development and maintenance of models and methodologies for GRA FCC risk measurement
Work with project leaders in the review and improvement of the existing suite of models and methodologies
Support improvements to the systems and data infrastructure supporting deployment of the traded risk models
Participate in projects aimed at aligning methodologies, governance and policies around the Group, and
Keep abreast of regulatory requirements
To be successful in the role, you should meet the following requirements:
Good understanding of the business activities for a large global banking group with diverse operations from retail banking, wealth management, commercial banking, global banking, investments, transaction services, asset management, private banking and insurance
Minimum of 3 years proven and progressive experience in financial services data analysis and/or application development; AML Compliance specific experience preferred
Minimum of a Bachelor's degree in a numerate or computer science, MIS, related field or equivalent experience
Proven ability to clearly articulate business and regulatory implications of analysis and findings both to Compliance Colleagues and Business Heads
Takes pride in working to a high standard, and thrives within a changing environment, showing initiative and drive
Knowledge of SAS, Qlickview or Spot Fire required
Proficiency in (Scala, JAVA, SQL), Open source technologies
Hadoop (Hive, Pig, Ambari, etc.), SPARK
Strong Experience in SQL, PL/SQL, ORACLE
Experience in any Visual Analytics tools and concepts e.g SAS VA, Tableau, Qlikview, Platfora
Understanding business requirements and ability to convert these into positive systems changes
A working knowledge of Lotus Notes, Outlook, Word, Excel, Access, Visio and PowerPoint
A flexible approach to working with the ability to travel to other entities within HSBC
Ability to review processes and controls across the Business
Strong communication and presentation skills (both verbal and written) and ability to convey information in a way that is clear, succinct, and easily understood by non-analysts and senior executives
Good understanding of payment activities for a large global banking group with diverse operations specially relating to AML, Payments, and Compliance
Excellent analytical skills with good eye for detail and ability to draw and support conclusions or anticipate outcomes from data trends or system documentation
Be able to generate and maintain positive relationships within the team and across the business
For further details and application information please visit our careers site, searching under reference number 0000AD0H