Job description
Business: Customer DRA/Financial Crime
Open positions: 1
Role Title: Analyst, FC Detection and DE GSC’s
Global Career Band: 6
Location (Country / City): India- Bangalore / Kolkata
Recruiter Name : Geetika Gupta
Why join us?
- 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 Analyst / Senior Analyst, Data Science, you will play a pivotal role in contributing to our Analytics strategy for the deployment of strategic Customer Transaction Monitoring solutions like DRA 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, experience in Machine Learning model development and deployment in cloud environment. Familiarity with Agile methodologies with experience in Value Stream models will be an added advantage. The successful candidate will have exposure to Google Cloud, explanation of complex Machine Learning concepts, and a proven track record of effectively contributing to development, deployment, and retraining lifecycles.
What you’ll do:
Principal Accountabilities and Responsibilities
- Data analytics and data science support: Tasks will include writing codes from scratch to extract raw data from Bank data platforms, analyzing large quantities of data to extract useful information and insights, and building diagrammatic visuals to present data effectively. The role holder is expected to ensure timely and accurate delivery of analytical outputs at a rapid tempo and for a diverse set of internal and external audiences. Key responsibilities and requirements include:
- Writing BigQuery™/SQL/Python code to perform data analytics for financial crime risk detection, including (but not limited to) bespoke data analysis, data transformation, data quality check, feature build, model development, deployment and maintenance.
- Apply optimal combinations of applied mathematics, statistics, visualisation and data engineering to the area of combatting financial crime.
- Build on necessary skills (including those described above) through targeted training and personal development
- Model understanding: Develop a clear vision of the model and development- deployment pipeline that aligns with business goals and user needs, executing it effectively to ensure it meets the program objectives.
- 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 Data Science responsibilities within an Agile Scrum framework, ensuring correct and optimized code writing, promote 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 Scientist in the POD, provide support to ensure all model documents are updated maintaining right standard. Help support follow-up analysis to close outstanding findings from Model Governance / IMR / Audit.
- 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.
Requirements
What you will need to succeed in the role:
- University degree in Computer Science, Business Analytics, Statistics or related disciplines
- Experience in data analytics or programming, with a focus on Machine Learning.
- Understanding of Statistical concepts and their application in ML algorithms.
- Hands on knowledge of Machine Learning concepts and development codes.
- Strong analytical mind and willing to enrich technical knowledge in the field of data analytics.
- Excellent communication and collaboration skills.
- Proven track record of delivering/ deploying analytical solutions in a fast-paced, dynamic environment.
(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.”
Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
***Issued By HSBC Electronic Data Processing (India) Private LTD***
Nom du recruteur
Geetika Gupta
E-mail du recruteur
geetika.gupta@hsbc.co.in