Senior Manager Data and Analytics

Senior Manager Data and Analytics (Risk) Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-in-class products and services. We seek to attract high‑calibre talent by offering a dynamic working environment, good career development opportunities and competitive compensation packages. We are currently seeking a high calibre professional to join our department as SENIOR MANAGER DATA AND ANALYTICS (RISK) . Lead a team of data & analytics professionals to develop and deploy data‑driven analytics solutions including (but not limited to) ad‑hoc analysis, self‑serve visualization, automated data solutions, machine learning and AI to address Payment Fraud Risk, Credit Card Fraud Risk, Financial Crime Risk (FCR), Sales Conduct Risk and Internal Fraud Risk and Controls. Design and deploy guideline, framework, and process to ensure the above solutions can be integrated into fraud management and fraud operation processes with closed‑loop monitoring and ongoing improvement. Identify emerging FCR risk and new MO, actively and proactively respond with end‑to‑end data analytics initiatives, recommend and implement changes in controls and processes to minimize financial crime risk and customer losses. Continuously raise the detection control standards across the end‑to‑end customer journeys and strengthen risk mitigation controls. Develop an agile working model to respond to ever‑changing fraud risks and challenges nimbly and effectively. Collaborate & influence a wide range of partners / stakeholders from technology, business owners, compliance as well as senior management. Drive talent development, cultivate an innovative environment and uplift analytics capability through effective application of modern big data, machine learning methodology and visualization tooling. Adhere to HSBC policy, procedures and control requirements. Requirements University degree in Statistics, Data Science, Mathematics, Computer Science, Information System or other related discipline Minimum 10 years’ banking experience in data analytics Excellent team management, strong organizational, problem‑solving skills Effective verbal and written communication, experience in managing broad stakeholders and cross‑functional project / teams, and strong influential & presentation skills Experience in agile working & project delivery, comfortable with working in fast‑changing and complex environment Ability to take smart risk, define structure and clear approach / solution under ambiguous circumstance Self‑motivated professional, strong analytics mindset, track record of analytics solutioning, innovation and transformation for impactful business results Proven track record of people management Domain knowledge in payment fraud, card fraud, application fraud, financial crime risk management area a plus Experience in Python, SQL/BigQuery, Tableau/QlikSense/Looker studio a plus Hands‑on experience on cloud environments such as AWS, Google Cloud Platform (GCP), Feedzai a plus Experience in Graph Database, Network Analytics Tools and Transaction Monitoring and Screening system is a plus As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment. You will be empowered to drive HSBC’s engagement with the communities we serve through an industry‑leading volunteerism policy, a generous matching gift program, and a comprehensive program of immersive Sustainability and Climate Change Initiatives. You’ll want to join our Employee Resource Groups as they play a central part in life at HSBC, including the development of our employees and networking inside and outside of HSBC. We value difference. We succeed together. We take responsibility. We get it done. And we want you to help us build the bank of the future All qualified applicants will receive consideration for employment without regard to age, ancestry, color, race, national origin, ethnicity, disability or medical condition, genetic information, military or veteran service, religion, creed, gender, pregnancy, childbirth, caregiver status, marital status, citizenship or immigration status, sexual orientation, gender identity or expression or any other trait protected by applicable law. All information provided by applicants will be used only for recruitment purposes and will be used strictly in accordance with the Bank’s personal data policies, a copy of which may be obtained by the applicant upon request. Unless otherwise instructed in writing by the applicant concerned, applicants may be considered for other suitable positions within the Bank and its related companies. The personal data of unsuccessful job applicants may be retained for a maximum of two years from the date when the job application is rejected and such data may be retained for a longer period if there is a subsisting reason that obliges the Bank to do so, after which the personal data will be destroyed. #J-18808-Ljbffr