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. It's 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. We're 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 Responsibilities
Strategy
Understand and apply the strategic architecture design principles and standards, Optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements
Business
Analytics tools that utilize the data pipeline to provide actionable insights for the business users, operational efficiency and internal and external reporting liquidity metrics
Processes
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
People and Talent
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
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 to achieve the outcomes set out in the Bank’s Conduct Principles: (Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.) * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key Stakeholders
Technology – Trade Business, Trade Solution Engineering Team, Architect, Investigation Team
Other Responsibilities
Adherence to Risk & 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
Stakeholder Management
Coordinate with resources and teams across different locations Capability development/mentor team members Our Ideal Candidate
Academic & Professional
Degree in Software Engineering, IT, Computer Science, or related fields. At least 4-8 years of working experience in Hadoop ecosystem (Spark, Python/Scala, Hive) with emphasis on data manipulation, transformation & analysis
Skills & Attributes
The Quantexa Developer / Big Data Engineer will be a key member of Trade Quantexa Delivery team and responsible for the design, development and implementation of Quantexa product for Trade Finance. The role holder will form a key part of a fast-paced, ambitious, delivery programme.
Skills
Strong knowledge of working on HDFS, Hive, Yarn and Spark Strong coding background in either Python or Scala with high-performance, reliable and maintainable code Experience in working in a development lifecycle with knowledge on versioning systems (GIT, Bitbucket), dependency management (Maven, Gradle) and continuous integration (Jenkins) Experience of building data processing pipelines for use in production “hands-off” batch systems, including either traditional ETL pipelines and/or analytics pipelines. Experience working in an Agile environment Problem solving and analytical mindset Effective communication skills
Good to have skills
Holding Quantexa Developer certification Experience in managed services AWS EKS, Azure AKS Experience in Angular Microservices (OCP, Kubernetes)
Optional Skills:
Machine Learning/AI experience
