Assistant Director, Data and Analytics

In this role, you will: 

• Own end-to-end solutioning: problem framing, hypothesis design, data strategy, modelling approach, experimentation, validation, deployment, monitoring, and continuous improvement.
• Research and devise innovative Machine Learning and Deep Learning algorithms for given problems; evaluate trade-offs across accuracy, interpretability, latency, cost, and operational constraints.
• Ensure high-quality delivery of models, analyses, and insights; ensure adherence to compliance framework for policies, data, systems etc. as per group, region, and local standards.
• Understand business issues and context, develop frameworks for solving unstructured problems, and articulate clear, actionable, analytics-driven solutions to senior stakeholders.

To be successful you will:

• 8-10 Years of work experience in data science building enterprise level solutions, including leading delivery of complex, multi-stakeholder initiatives.
• Deep knowledge of math, probability, statistics, and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised Learning
• Deep analytical thinking with excellent problem-solving abilities 
• Strong verbal and written communication skills with a proven ability to work with diverse set of stakeholders; effective interpersonal and influencing skills.  
• Ability to balance and handle multiple concurrent tasks and/or issues simultaneously. 

You'll achieve more at HSBC

 Hsbc.com/careers

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

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