Lead, Data Science
Standard Chartered Bank
Bangalore, India, Asia
2d ago

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.
  • Business

  • 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
  • Data-oriented personality
  • 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
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