Specialist, Machine Learning Solutions

Job Description

*About Standard Chartered We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.To us, good performance is about much more than turning a profit. Its about showing how you embody our valued behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good.Were committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base.The Role ResponsibilitiesMachine Learning Solutions: Developing and deploying sophisticated machine learning and A.I. models, for general application to a wide variety of challenges within CFCC. Strategy

• Input to Country operating model design of relevant monitoring frameworks and business processes.
• Ensure that there is adequate support (people, processes, tools, frameworks, systems) for monitoring and analytics oversight, with particular regard to machine learning model development
• Implement the vision, strategy, and direction for the monitoring and analytics function, consistent with the vision and strategy for CFCC and in support of the Group s strategic direction and growth aspirations

Business

• Analyse comprehensive impact of financial crime related monitoring systems and their relation to regulatory oversight.
• Support relevant stakeholders to make decisions based on current and possible future policies, practices, and trends.
• Use machine learning to drive the vision of the bank and in particular CFCC

Processes

• Act as Process Owner for FCC-owned (sub-) processes under the Group s Risk Management Framework, including implementation and roll-out of relevant processes and DOIs.
• Develop, keep-up-to date and recommend for approval by the relevant Risk Committee, appropriate Controls policies/procedures/DOIs to address financial crime risks, aligning with relevant regulatory requirements, as they pertain to development and deployment of machine learning models
• Providing governance and oversight over the implementation of FCC controls -related policies and procedures in Country to ensure compliance with such policies and procedures.

People and Talent

• Provide leadership, management and coaching to direct reports to ensure they are highly engaged and performing to their potential.
• Promote and embed a culture of openness, trust and risk awareness, where ethical, legal, regulatory and policy compliant conduct is the norm.
• Stimulate an environment where forward planning, prioritisation, deadline management and streamlined workflows and collaborative, inclusive yet effective and efficient work practices are the norm.
• Collaborate with training teams to input to training curriculum to support closing of capability gaps.
• Ensure Country is adequately resourced and staffed by an appropriate number of competent staff sufficiently independent to perform duties objectively, to support sustainable business growth and address financial crime risks.
• Ensure staff in Country have clearly articulated and well understood roles and responsibilities through meaningful and accurate job descriptions.

Risk Management

• As applicable to activities managed under FCC Controls / Transaction monitoring
  • Maintain oversight of risk mitigating action plans.
  • Understand technical aspects of systems relevant to CDD, Client Risk Assessments, Name and Transaction Screening, AML Monitoring and Case Management
  • Ensure that machine-learning based detection scenarios and models that are developed and deployed are fit-for-purpose.
  • Apply Group and FCC policies and processes (AML surveillance, client screening, risk assessment) to manage risks.
  • Inform senior management and relevant regulators of serious regulatory breaches (or where risk tolerances have been breached) and ensure that actions are taken quickly to remediate and/or activities are ceased.
  • Provide intelligence inputs to support calibration of bank s Risk Methodologies as they pertain to machine learning models and systems.
  • Define the applicable control standards under the FCC Global Risk Assessment and ORF.
  • Ensure that machine learning detection scenarios and models that are developed and deployed are fit-for-purpose
  • Review and assess existing system and controls relevant to FCC to ascertain operational performance effectiveness

Governance

• Attend relevant leadership meetings.
• Ensure tracking and remediation of surveillance and investigations related regulatory findings.
• In the event of serious regulatory breaches, or where risk tolerances have been breached, ensure senior management and relevant regulators are informed and that actions are taken quickly to remediate and/or activities are ceased.
• Propose control improvements, enhancements and simplifications where appropriate.
• Support all control checks undertaken by FCC under the Operational Risk Framework (ORF).
• Collate, analyse and interpret data in reports to senior management and relevant governance/risk committees.
• Analyse and interpret data to produce reports that help the bank identify and manage emerging areas of risk / vulnerability and thus drive remediation action within the FCC function.
• Lead or influence significant programmes of work in support of the financial crime compliance objectives.

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Lead the CFCC Analytics Team to achieve the outcomes set out in the Bank s Conduct Principles : Financial Crime Compliance
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters

Key Stakeholders

• Financial Crime Compliance.

Our Ideal Candidate

• Bachelors degree in computer science related fields, or Masters degree in a STEM field.
• Minimum 3 years in the general banking / finance sector, and 1-2 years in a data analytics role, with high levels of exposure to machine learning and artificial intelligence systems.
• Proficient with developing machine learning and artificial intelligence models, including neural networks.
• Strong proficiency in Python, and associated data science and machine learning extensions and libraries such as SciKit.learn, PyTorch, TensorFlow etc.
• Strong ideation and innovation skills coupled with the ability to communicate these ideas to less technical audiences.
• Proficiency with big-data environments such as Hadoop, and by extension HaaS and Hive paradigms.
• Strong data visualization skills and knowledge of associated products such as Tableau, DB Visualizer, Matplotlib, Seaborne, and so forth.
• Confident in dealing with large data sets, and data mining and data preparation methods.
• Familiarity with concepts involving transaction detection and monitoring. Knowledge of Mantas and Falcon a plus.

Apply now to join the Bank for those with big career ambitions.To view information on our benefits including our flexible working please visit our career pages . We welcome conversations on flexible working.,

Keyskills :
data miningdata sciencemodel designdata analyticsrisk managementmachine learningoperational riskforward planningdata preparationdata visualizationartificial intelligenceregulatory requirements