Senior Data Scientist - Wholesale

Key Skills

Java Programming, Python Programming, SQL, Scrum Agile Methodology, AWS, PowerBI, Apache Hadoop, Aartificial intelligence, JIRA, QlikView, Tableau, TensorFlow, Google Cloud Platform (GCP), Kanban, R Programming, SAS, Confluence

Job Description

Some careers grow faster than others.

If you’re looking for a career that will give you plenty of opportunities to develop, join HSBC and your future will be rich with potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC Commercial Banking serves millions of businesses ranging from small, to large corporates, providing commercial customers with a full range of banking services including Global Trade and Receivables Finance, RMB solutions, multi-currency business accounts, payments and cash management, and wealth management and insurance, as well as a comprehensive range of financing solutions. With dedicated Relationship Managers and Product Specialists providing local support and advice in over 60 countries and territories, HSBC helps connect customers to opportunities.

We are currently seeking a high calibre professional to join our team as a Senior Data Scientist.

Principal Responsibilities

As an integral member of a specific Tribe and Discipline, Senior Manager Data & Analytics is a key position driving the commercial use of the outcomes of Fraud Analytics team

The role holder will focus on using Data & Analytics to drive business activities and outcomes that improve or transform:

• Customer experience
• Staff productivity
• Business decision process
• Operational effectiveness

The above would in turn improve business profitability and grow market share following Wholesale strategies.

The role holder will have these activities:

• Lead one or more key activities described under “Impact on the Business”
• Build and lead engagement with stakeholders
• Lead and mobilize activities against specific missions amongst the tribe(s)
• Champion team work across onshore and offshore units; mentor junior members
• Enable risk-informed decisions.

The role holder will be successful provided he/she:

• Effectively translates business problems and dynamics into forms where data, analytics or data products are combined as solutions
• Demonstrates high ability to diagnose and manage ambiguity in business problems, to clearly articulate the business problems into relevant hypotheses and identifies the most effective data, analytics or data product solutions
• Weaves solutions back into holistic output that is succinct and intuitive to the business consumers
• Exhibits high ability to understand current and emerging technologies, and to articulate the benefits of such in driving business outcome
• Collaborates with cross functional teams and partners to enhance the analytics products / solutions based on holistic feedback from stakeholders and customers
• Possesses drive and intrinsic motivation to unveil high value business opportunities through partnership and close business engagement
• Engages business stakeholder effectively, builds rapport and trust based on strong appreciation of issues and needs. Communicates effectively across business and analytics functions

Requirements

Requirements

• Possess 8 to 12 years’ experience in one or multiple skills in data / business analytics in the financial or digital domains. Or similar experience in analytics consulting or managing digital products
• Strong business acumen with high ability to diagnose and articulate ambiguity in business problems and translate into data and analytics requirement, and recommend stakeholders relevant insight and data products / analytics solutions for adoption and commercialization
• Strong problem solving and analytics product management skills
• Excellent communicator and interpersonal skills. Proven experience in forming ‘advisory’ relationships with senior managers
• Highly self-motivated, self-starter. Strive for change and able to lead and mentor junior members
• Strong team player; able to work members of different skills and experiences. Comfortable to operate in a complex matrix structure with multiple stakeholders
• Proven experience in one or more of: customer segmentation, digital marketing, data science, portfolio analytics, use of open-source data in analyses
• AGILE methods: Scrum, Kanban, SAFe, Pair programming
• Develop innovative and impactful data-based tools and models for fraud detection and risk mitigation
• Contribute to innovation initiatives and overall analytics strategy under the global fraud analytics head
• Advocate and promote the use of data science to drive fact based activity and behaviour in CMB globally
• Engage various stakeholders to understand and collect project requirement, present analysis and or results, make recommendations on strategy formulation and solicit project feedback
• Work with and leverage solutions and approaches developed by the wider HSBC Analytics community
• Keeping up to date on the latest advanced analytics and big data technologies. Engage with academia on shared research topics related to fraud

Having these attributes would be advantageous:

• Demonstrated experience in process and analysis of large amount of data using one of these: Python, R, SQL or SAS; on environments such as AWS, Google cloud or Hadoop
• Experience with data visualization and visualization tools using of these: Tableau, Qlik, PowerBI, Data Studio
• Understanding of cloud capabilities: GCP, AWS, Azure, Alicloud
• Proficient with Artificial Intelligence / Machine Learning algorithms and kits; hands-on use of Tensorflow, Da-taRobot or Sagemaker (or similar tools)
• AGILE tools: Jira, Confluence, SLACK
• Having Bachelor degree in one of these preferred disciplines: economics, computer science, data science, analytics, statistics, econometrics, management information system, communications, operations research
• Experience working in a business function within the bank

You’ll achieve more when you join HSBC.