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
Implement Micro Service based architectural enhancements
Design and Review framework components
Responsible for design and development of reusable components using Machine learning and Graph knowledge database
Highly Scalable component design and development
Able to handle various stakeholders / teams (business, support, testing, etc.)
Build strong application knowledge and collaborate with partnering teams
Mentoring a team of developers to ensure technical deliveries are performed on time.
COOL is the App store of business services providing unified experience of workflow , data , insight to business
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.
Our Ideal Candidate
Must have earlier experience working and applying Machine Learning and Neo4j (Knowledge Graph)
Selecting features, building and optimizing classifiers using machine learning techniques
Familiar with Graph Database and responsible for implementing knowledge graph like Neo4j.
Familiar with Neo4j- APOC and GDS(Graph Data science) libraries
Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Bert, Regression etc.
Experience in working with Advanced Python API’s and Flask / gunicorn container
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills
Strong proficiency with Python and REGEX
Proficiency in Java technologies a plus
Integration of APIs, multiple data sources and databases into one system
Implementing automated testing platforms, unit tests, and CICD Pipeline
Proficient understanding of code versioning tools, such as GitHub, Bitbucket
Familiar and working experience with DevOps tools like Ansible, Jenkins, Terraform