Manager, FC Detection and DE

What you need to have to succeed in this role 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. Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC, and fulfil your 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. Your career opportunity 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.  ,[Model understanding: 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., Facilitate Team member engagement: Engage in team management activities to deliver program objectives cohesively and collaboratively as a team, wherever required mentor/coach the junior/new team members. You would need to 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., Deliver as per Product Roadmap: 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., Code optimization: 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., Complete Model Documentation and drive Model Approval: As a data analyst/scientist in the POD, 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.] Requirements: Data science, Machine learning, SQL, Python, BigQuery, Google Cloud Platform Additionally: Training budget, Private healthcare, Flat structure, International projects, Multisport card, Monthly remote work subsidy, Psychological support, Conferences, PPK option, Annual performance based bonus, Integration budget, International environment, Small teams, Employee referral bonus, Mentoring, Workstation reimbursement, Company share purchase plan, Childcare support programme, Bike parking, Playroom, Shower, Canteen, Free coffee, Free beverages, Free parking, In-house trainings, In-house hack days, No dress code, Modern office, Knowledge sharing, Garden, Massage chairs, Kitchen.