Senior Data Scientist, GSC’s

Key Skills

Data Analytics, Data science techniques, Database, Google BigQuery, Google Cloud Platform (GCP), Google Dataflow, Jupyter Notebook, Kubernetes-K8s, PowerBI, PySpark, Python Programming, R Programming, SQL, Web APIs

Job Description

In line with other HSBC businesses, Asset Management (AM) has embarked upon a significant change programme focused on Data. Analytics & Data Science capabilities and ongoing investment in the Data Science platform are crucial components in achieving the Data and wider AM strategies.

The Data Science team are fully operational on Google Cloud, benefitting from the latest technology from a leading Analytics vendor as well as using third party tools where relevant. All core data services have been ingested and new sources are being uploaded regularly. Analytics & Data Science initiatives are inflight across all areas of AM, including Sales, Investment, Operations, Finance and Risk. This candidate will have the opportunity to support and learn about many functions within an Asset Manager.

Initiatives range from data engineering, through visualisation, and the team are now starting to use machine learning to solve business problems. A particular focus in 2022 was the creation of an ESG Data Service to make AM a thought leader in sustainable investing and a pre trading analytics platform. In 2023 we continue this work but extend our engagement with Alternatives, a growing Asset Class within industry and in AM.

What you’ll do:

Job Responsibilities

The role holder will join an expanding Data Science team in Bangalore within the AM Data & Analytics Office (DAO) and be expected to build relationships across AM, at all levels. Within the HSBC Group they will work with Cloud and Data Science colleagues and technology teams.

• Work with AM business areas to identify opportunities to apply Analytics and Data Science effectively to improve commercial performance, operational efficiency and efficiency.
• Work alongside the Data Architecture function to improve business understanding and data models, ensuring the correct data sources are used in your Analytics & Data Science products.
• Develop data engineering pipelines to retrieve the data you need for your Analytics and Data Science initiatives.
• Construct visualisations to deliver the insights developed from your work to stakeholders.
• Build Machine Learning models to improve activity such as Client retention, new business acquisition, risk monitoring and global portfolio management.
• Act as a data thought leader, evangelising the power of data science to drive our strategy and maximise revenue opportunities. Advise business users and other analysts on analytical techniques, tools and technologies
• Ensure that the capability remains at the forefront of developments and new trends in data science and research to ensure that AM remains ahead of competitors and the market.
• Establish strong relationships with all stakeholders and ensure work is prioritised according to business need and opportunity. Deliver analytical projects on time and to budget.

Requirements

What you will need to succeed in the role: 

Certifications, Qualifications and Experience

• Programming languages Python, PySpark, R and database languages like SQL
• Machine Learning implementation experience using Jupyter Notebooks or equivalent
• Visualisation technologies like Tableau (preferred), Qlik, Power BI or other
• Working with third party service providers like Google Cloud, Amazon Web Services, Microsoft Azure
• Google Cloud Platform technologies like GCS, BigQuery, DataProc, Dataflow, Compute, Stackdriver and Kubernetes
• Asset Management experience is preferred, but not mandatory
• Proven track record of creating and delivering Analytical Insight and Business Intelligence
• Ability to work effectively under pressure with competing and rapidly changing priorities
• Ability to develop cohesive working relationships with internal/external stakeholders
• Ability to bring analytical rigour and structure and effective solutions to poorly-defined problems
• Experience working with senior stakeholders in a global environment is desirable