Job Description

Job: Technology
Primary Location: Asia-Singapore-Singapore
Schedule: Full-time
Employee Status: Permanent
Posting Date: 25/Jul/2022, 3:25:04 AM
Unposting Date: 24/Aug/2022, 5:59:00 PM

Role Responsibilities
Strategy

• Responsible and accountable to exploit the value of Transaction Banking information assets and its analytics in cooperation with business. Deliver the Trade Working capital vision.
• Lead strategy and the development of data and analytics products in cooperation with DCDA, Trade and Cash Product Development, Sales, Compliance and other to assure that solutions are aligned to the business strategy, released on time, on budget and with high quality.
• Partner with product engineering heads to develop Data, Analytics and Innovation domain roadmaps, adoption of real time streaming and batch-processing platform / Hadoop platform.
• Define Cloud-based SaaS / PaaS / IaaS offerings for Data Solutions and leverage cloud enabled technologies and toolset for Data and Analytics domain.
• Drive Data and AI architecture governance strategy.
• Understand and apply SCB strategic architecture design principles and standards.

The strategy alignment includes following pillars.

• Data Strategy (Data Sourcing, Data Quality, Data Visualization and consumption).
• Machine Learning Pipeline / Tool Strategy / Platform Strategy.
• Third-Party Platform / in-house Strategy.
• Hosting Strategy for Data Analytics (In-House / Cloud Platforms).
• Visualization and Data Democratization (Facilitate the evolution to self-service analytics and data preparation).

Innovation

• Support Strategic Initiatives and Partnerships.
• Application of a broad and current industry perspective on technology trends / opportunities, alternate solution providers, leading practices, and our relative position.
• Demonstration of technology thought leadership, foster productive business relationships, and build strong sponsorship of our technology architecture and roadmap.
• Understanding and influencing business strategy, ensuring it’s informed by current and emerging technology capability and supported by our architecture and roadmap.
• Evaluate vendors to find solution that best fit our functional and technical architecture.
• Incubation of various Data, ML & AI solution together with stakeholders from business to constantly search for opportunities to increase sales, optimize processes and mitigate risk.

Business Solutions

• Engineering lead for Data Initiatives
• Develop roadmap to accelerate adoption of data analytics, Machine and AI within Transaction business incl. Cash, Trade Finance and working Capital Solutions across various domains incl. Operations, Sales, FCC, Fraud and Credit Risk.
• It should include (but not restrict to) prediction solution (e.g. Cash / Trade pricing), recommendation solution (Cluster Analysis, Recommend cash / trade products to clients based on behaviour / profile), network analytics (Social Network analytics) and anomaly detection (Fraud).
• Exploitation of big data and the liberation of data to the business, using a combination of open source, cloud and various tools and techniques for data analytics, machine learning, mining, and visualization.
• Convert Analytic scope and roadmap into actionable deliverables (incl. User Stories and Verification).
• Leverage of Analytics tools that utilize the data pipeline to provide actionable insights for the business users, operational efficiency.
• Increase Business AI understanding to increase adoption and acceptance.
• Support business in tracking and monitoring the commercialization process of initiatives.

Working Capital Delivery

• Evaluate internal and external solutions to meet working capital requirements.
• Drive and Manage the end-to-end development and deployment of Working capital solution.

People Management

• Build and lead data and analytics centre of excellence for Transaction Banking.
• Define job roles related to Data Science, recruit candidates (if needed) and manage a team of data and analytics leaders / members.
• Develop TB technology capacity to develop insights with advanced analytics.
• Develop talent in Data and partners such as engineering and delivery teams.
• Develop a learning environment and learning strategy based on formal training and training on-the-job. Train and upskill team (Data Engineering / Data Scientist / ML Experts / Business Intelligence.
• Foster teamwork, respect and collaboration across ITO function and other stakeholders.
• Foster a culture of innovation. Build the appropriate culture and values to be a role model. Acquire new skills to keep up the system update to date and to align bank wide new initiatives.

Data Analytics, Machine Learning and AI Delivery

• Drive and Manage the development and deployment of Cash, Trade and Working Capital data and analytics platform.
• Incubate and propose innovative solution to business and stakeholders.
• Design analytical solutions / experiments to solve various strategic business problems in TB through engagement and research.
• Data squads to manage and deliver the lifecycle of a data science projects across four phases.
  • Data management and Data sourcing.
  • Data Engineering and Data Science.
  • Machine Learning and Analytics.
  • Data Visualization and Provision of AI microservices endpoints for consumptions.
• Develop and communicate data analytics, ML & AI vision that supports the broader organizational vision.
• Ensure team culture consistently demonstrates alignment with SCB principles and its aligned to SCB’s business and technology strategy. Influence your team’s technical and business strategy by making insightful contributions to team priorities and approach.
• Lead the development, implementation, and delivery of successful large-scale project.
• Manage cost effective delivery of data to respective teams which are up-to-date, comprehensive, and easy to consume (incl. data dictionary, feature engineering), which includes big data (structured and unstructured) as well as provision of transactional data.
• Think in terms of architecture, not just code. Have detailed knowledge of the work done by your team and proactively work to improve consistency and integration between your software and related software.
• Take the lead in identifying and solving ambiguous problems, architecture deficiencies, or areas where your team’s software bottlenecks the innovation of other teams. Make solutions simpler and reusable.

Governance and Responsible AI

• Feedback data and analytics oversight on data governance to executive sponsorship, business, and risk committee (e.g. Sustainability Refinement or NFRC Technology Working group).
• Ensure all regulatory, compliance and internal control requirements are met. Develop and execute plans for QPR approval to mitigate any risk / non-compliances.
• Identify and standardize the use and governance of data and analytics in support of the enterprise's business strategy.
• Responsible AI - incl. the governance of data and algorithms used for analysis, analytical applications and automated decision making in TB. Ensure that model used are responsible and explainable.
• Ensure data quality (DQMF) is applied for data analytics and AI projects.
• Support data refinement session in order to agree on next 90 days deliverables. Manage and support the LuW process for data analytics, ML & AI related enhancements.
• Adherence to Risk and Data Quality Management Requirements.
  • Risk and Audit Continuous management of the Trade Application System risk.
  • Proactively identify issues and actions.
  • Monitor and remediate issues and actions from audits.
  • Awareness of the regulatory requirements and ensuring these are catered for in the platform design.

Portfolio Management Planning and Budget

• Support business to identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes incl. revenues, cost efficiencies and risk mitigation.
• Maintenance of Transaction banking level data, AI & ML technology roadmaps encompassing application and related infrastructure services.
• Delivery within given budget, management of internal and external cost and strive for optimal delivery and sourcing solutions.

Processes and New Ways of Working

• CCIB moved to the New Ways of Working and the delivery is managed in squads lead by the Product Owner and/or augmented by Subject Matter Expert, Business Analysts, Developers, and testers. Therefore, ensure that data, ML & AI solutions is delivered in the spirit of New Ways of Working.
• Always optimize accuracy and velocity of squads.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Regulatory and 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.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
• Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association.

Key Stakeholders

• TB (Trade, Cash and Working Capital) Biz Heads, COO and CPOs
• Technology Engineering teams in Cash and Trade
• Trade Solution Engineering Team
• Architecture
• DCDA
• Product Management Cash, Trade and Working Capital Solutions
• FSCO / Compliance teams

Stakeholder Management

• Coordinate with resources and teams across different locations.
• Capability development / mentor team members.

Our Ideal Candidate

• Working experience in data ecosystem (Spark, Python / Scala, TensorFlow) with on Data Science, Machine Learning and Artificial Intelligence.
• 12 years of overall experience in Banking or any Financial Institutions.
• Experience in Transaction Banking domain; Good Understanding of Trade Finance, Working Capital Solutions and Cash Management.
• Experience in working in an agile environment.
• Very good understanding of Machine Learning models such as Recurrent Neural Networks, Network Analytics, Regression, Anomaly Detection and Clustering.

Skills

• Understanding of multiple programming languages, especially related to Data Science (Python, Scala, TensorFlow, R).
• Understanding of distributed platforms Apache Spark, Data Warehouse, Apache Hadoop, Amazon Web Services (AWS), ETL (extra, transform, load), Big data analytic. Data visualization technologies, Data mining of social media data, Risk modelling, Artificial Intelligence.
• Related Data Engineer / Analyst certifications are beneficial (e.g. AWS / Azure Solution Architect, IBM Certified Data Engineer, AWS and Azure Machine Learning / AI specialist, etc).
• Comprehensive functional and technical knowledge in Transaction Banking through practical experience in defining and delivering technology solutions.
• Current and deep Data and Analytics domain market insights.
• Strongly developed strategic, analytical and communication skills evidenced by experience in formulating strategic scenarios, evaluating trade-offs within a robust commercial framework, developing related financial models and designing practical execution plans.
• Ability to synthesize complex issues / scenarios into easy-to-understand concepts.
• Demonstrated analytical ability, problem deconstruction, statistical competency, meticulous analysis skills, data validation, and scientific rigor.
• Fluency in a range of statistical data analysis and machine learning.
• Effective communication skills.

Role Specific Technical Competencies

• Data management and Data sourcing.
• Machine Learning and Analytic.
• Data Visualization and Provision of AI microservices.
• Data Engineering and Data Science.

About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 160 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents. And we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Be better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations
• Time-off including annual, parental/maternity (20 weeks), sabbatical (12 weeks maximum) and volunteering leave (3 days), along with with minimum global standards for annual and public holiday, which is combined to 30 days minimum
• Flexible working options based around home and office locations, with flexible working patterns
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

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Visit our careers website www.sc.com/careers