
Machine Learning Data Scientist
2 days ago
**Some careers have more impact than others.**
If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.
HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
We are currently seeking an experienced professional to join our team in the role of **Machine Learning Data Scientist**
**Business: Global Banking & Markets**
**Principal responsibilities**
- The Role Holder will be responsible for leading the data science activities within the project, working with business analysts, data scientists and developers:
- Reviewing the proof of concept, current state and opportunities to utilise AI/ML in the Trade and Transaction Reporting Controls area.
- Proposing appropriate AI/ML models and techniques that will best fit with the data domains, volumes, available tools and business priorities.
- Using a range of AI/ML techniques and programming languages to transform data, analyse data and identify potential data quality issues.
- Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance.
- Working with technology to integrate and separate data feeds to map, produce, transform and test new machine learning pipelines.
- Work with Business Partners to clarify problems/opportunities and propose solutions underpinned by strong data analysis of underlying controls and processes
- To understand and operate within HSBC’s AI/ML governance and procedures
**Requirements**:
- Relevant Bachelor's or equivalent University degree in AI/Machine Learning.
- Evidence of a successful track record of leading delivery of AI/ML solutions within Markets/Investment Banks.
- Strong data scientist with experience in anomaly detection techniques, particularly in the trade data domain.
- Awareness of a broad range of ML techniques.
- Google Vertex an advantage.
- Good overall understanding of Primary Trading systems, trading products and front to back trade lifecycle flows.
- Demonstrated experience working with SMEs and key stakeholders to support understanding of the problem/data.
- Be capable of communicating complex data science/AI/ML techniques and processes to business users and SMEs
- Drive and resilience as must be comfortable working in rapidly changing and ambiguous situations.
- Hands on ability to perform data analysis to drive business insights and decision making.
- Proactive and willing to use own initiative to resolve issues.
- Excellent communication and interpersonal skills.
- Structured and methodical in planning their own book of work, delivery of artefacts, managing multiple competing priorities and setting expectations with stakeholders.
**You’ll achieve more at HSBC**
**Issued By HSBC Electronic Data Processing (India) Private LTD
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