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Our Risk and Compliance function has a critical role to play in supporting, challenging, and advising across all areas of the business through establishing policy, monitoring profiles, and identifying and managing forward-looking risk and compliance. We focus on creating an environment that encourages our people to speak up and do the right thing, as well as protecting our customers, the organisation, and the integrity of the financial markets in which we operate. Already an industry-leader in many respects, we want to continue setting standards and evolving to respond to strategic changes. At HSBC, we are dedicated to revolutionizing Financial Crime Risk Management, through cutting-edge technology and innovative solutions. We believe in fostering a culture of collaboration, creativity, and continuous improvement. You will have the opportunity to work in an area which is redefining Financial Crime controls and analytical tooling to challenge how FC models operate across all of HSBC’s global footprint.
Job Responsibility
Develop a clear, compelling understanding of the model and development- deployment pipeline that aligns with business goals and user needs, executing it effectively to ensure it meets the approved minimum performance criteria and articulate outcome to stakeholders and the team
Engage in team management activities to deliver program objectives cohesively and collaboratively as a team, wherever required mentor/coach the junior/new team members
Communicate technical outcomes in a business-friendly manner to senior stakeholders and ensure their requirements are understood correctly, prioritized appropriately, and outcomes are interpreted in right manner to ensure its alignment with strategic goals
Clear and comprehensive understanding of product roadmap for your pod, prioritized features and initiatives based on business value and market trends
Help the POD members deliver accurately as per prioritized product features using the Value Stream model, ensuring optimal value delivery through each iteration
Adhere to lead data analyst/scientist responsibilities within an Agile Scrum framework, ensuring correct and optimized code writing by the POD members, drive transparency, collaboration amongst all other colleagues within and across PODs (Analytics, Product, IT and Transformation), and a focus on continuous improvement
Ensure all model documents are updated maintaining right standard
Present model in all relevant forums to get it approved before deployment
Participate and defend the model in internal/ external review forums (i.e. Independent Model Review [IMR], Audit, Regulator, etc.)
Help support follow-up analysis to close outstanding findings
Support model development as per strategic development/deployment framework of Financial Crime to keep the solution optimized, enriched and future ready
Actively participate in culture of continuous improvement, fostering innovation and experimentation to optimize product performance and customer satisfaction
Continuously learn and adapt to emerging trends and technologies, proactively seeking opportunities to improve the model
Requirements
Strong experience in data science or related roles, with a focus on Machine Learning
Strong understanding of Statistical concepts and their application in ML algorithms
Decent knowledge of Machine Learning and Artificial Intelligence concepts
Decent hands-on knowledge of developing codes (SQL, python, BigQuery)
Experience with Google Cloud platform and/or cloud-based technologies
Very good communication, stakeholder management and collaboration skills
Very good understanding of Agile framework and able to operate within agile environment
Proven ability to develop subject matter expertise quickly and ability to convert complex analysis outcome into a non-technical, business friendly presentation
What we offer
Additional bonuses for recognition awards
Multisport card
Private medical care
Life insurance
One-time reimbursement of home office set-up (up to 800 PLN)