HSBC Group

Business: Customer DRA/Financial Crime

Open positions: 1

Role Title: AVP, FC Detection and DE GSC’s

Global Career Band: 5

Location (Country / City): Bangalore / Kolkata

Recruiter Name: Geetika Gupta

Why join us?

Role purpose

• 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. As an AVP, Data Science, you will play a pivotal role in driving our Analytics strategy for the deployment of strategic Customer Transaction Monitoring solutions like DRA, ensuring alignment with future design for Customer Transactions Monitoring, and delivering value to our customers.
• You will have the opportunity to work on an award-winning product which is redefining Anti Money Laundering controls using an advanced machine learning model which was created in collaboration with Google and is now deployed to many HSBC markets across the globe. 
• We are seeking a highly skilled and experienced Data Scientist to join our dynamic team. The ideal candidate will have a passion for leveraging technology to drive business outcomes, strong background in Machine Learning model development and deployment in cloud environment and familiarity with Agile methodologies with experience in Value Stream models. The successful candidate will have exposure to Google Cloud, explanation of complex Machine Learning concepts, and a proven track record of effectively managing development, deployment, and retraining lifecycles.

What you’ll do:

Principal Accountabilities and Responsibilities 

• Model understanding: Develop a clear, compelling vision 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 with the team members to drive program objectives cohesively and collaboratively as a team. 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 Science 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 Senior Data 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, Skilled Person Review etc.). Help support follow-up analysis to close outstanding findings.
• Release Management: Support model development as per strategic development/ deployment framework of DRA to keep the solution optimized, enriched and future ready.
• Continuous Improvement: Drive a culture of continuous improvement, fostering innovation and experimentation to optimize product performance and customer satisfaction.
• Stay ahead of the curve: Continuously learn and adapt to emerging trends and technologies, proactively seeking opportunities to improve the model.

What you will need to succeed in the role:

Qualifications:

• 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.
• Hands on knowledge of Machine Learning concepts and development codes.
• Experience with Google Cloud platform and cloud-based technologies. (preferred)
  
• Excellent communication, leadership, and collaboration skills.
• Proven ability to develop subject matter expertise quickly and ability to convert complex analysis outcome into a non-technical, business friendly presentation.
• Working experience on Jira and confluence.
  
• Proven track record of delivering/ deploying complex ML model in a fast-paced, dynamic environment.

Link to Candidate User Guide:

https://hsbchrdirect.service-now.com/nav_to.do?uri=%2Fhrsp%3Fid%3Dkb_article_preview%26sys_id%3D0c6b11641b6a9810cec0553a2d4bcb2a

 (Or)

Go to the below link and type “IND GSC : IJP Applicant User Guide” in search bar. https://hsbchrdirect.service-now.com/hrsp?id=hrdirect_employee_dashboard

You’ll achieve more at HSBC

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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