The Role Responsibilities
· We are looking for a talented Machine Learning Engineer with a focus on ESG-related projects such as entity resolution and ESG data processing/extraction. This role involves applying machine learning techniques to complex datasets to extract insights that drive ESG strategies. The ideal candidate will have a strong foundation in machine learning tools and a keen sense for data, along with an understanding of business logic to deliver actionable insights for business units.
Key Responsibilities:
· ESG Data Management:
o Develop and refine machine learning algorithms for entity resolution in ESG datasets.
o Implement effective data extraction techniques to gather ESG-relevant information.
· Machine Learning Model Development:
o Utilize machine learning libraries (e.g., Scikit-learn, PyTorch, TensorFlow) to build and deploy models.
o Conduct model tuning and optimization to ensure accuracy and efficiency.
· Data Analysis and Insight Generation:
o Analyze large datasets to uncover trends and insights relevant to ESG initiatives.
o Translate data analytics into understandable and useful information for business decision-making.
· Collaboration and Communication:
o Work closely with business units to understand their needs and provide data-driven solutions.
o Present complex data in a clear and concise manner to stakeholders
Strategy
· Awareness and understanding of the Group's ESG strategy and model appropriate to the role.
Business
· Awareness and understanding of how the ESG models operating in the Group
Processes
· Responsible for developing some ESG-related Machine Learning models
Risk Management
· The ability to interpret the Machine Learning models, identify key issues and put in place appropriate model controls and measures.
Governance
· identify key Responsible AI related to the models developed
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.
· Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key stakeholders
· Sustainable Finance
Our Ideal Candidate
· 3+ years of experience in Machine Learning
· Strong programming skills in particularly - Python is required
· Data science experience ideally in ESG domain
· Bachelor’s degree (or above) in Computer Science, Computing engineering, Mathematics, or a related field.
· Business Communication
· Fresh graduates (or above) with excellent skills in data analytics, programming, Machine learning framework and cloud are also welcome to apply
Role Specific Technical Competencies
· Data Science
· (large) Data processing
· Data Analytics
· Programming skills, e.g., Python
· ML/DL frameworks, e.g., Scikit-learn, XGboost, Torch, Tensorflow
· Cloud
· Production deployment
· API
· ESG
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 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.
Recruitment assessments - some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.
Visit our careers website www.sc.com/careers
