MANAGER FRAUD OPS ANALYTICS

Some Careers Have More Impact Than Others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions.

We are currently seeking an experienced professional to join our team in the role of MANAGER , FRAUD OPS ANALYTICS

In This Role, You Will

• Forecasting inbound and transaction volumes. Performing regular analysis of historical business data, such as volume, transaction, service metrics and key capacity model assumptions. Develop forecasting models and framework to improve forecast accuracy by incorporating historical trends, new drivers and ongoing enhancement to models
• Build and enhance capacity models fit for use as per business process nature. Evaluate staffing needs based on strategic forecast and develop long term plans to meet staffing requirement. Develop multiple staffing scenarios as per business ask and account for unforeseen challenges and propose solution
• Demonstrate excellent analytical ability with conceptual understanding of how Workload Distribution, Productivity, Capacity Planning, SLA work and operation cost in tandem for efficiency. Communicate proactively to regional and country stakeholders on issues related to variances, workload or capacity and suggest through remediation action
• Analyze and prepare workforce productivity and capacity analysis summary for monthly management reviews. Facilitate monthly capacity planning review with regional and global head and summarize outcome to management team. Deliver monthly Governance pack and insights on all KPI and reporting suite
• Given the dynamic and ever-changing global business situation, the incumbent of this role is expected to surmise the business priority and enable the effective delivery of projects and analysis and meet the ever changing business priorities
• The role holder will be expected to go to the heart of the business problem under consideration, and provide a solution rather than simply present the data
• The role holder is required to take quick decisions in situations where complete information/ data might not exist and he/ she would need to apply business knowledge & intuition to make best case recommendations
  
  

To be successful in this role, you should meet the following requirements:

• Graduate or Post graduate degree in quantitative disciplines (Statistics, Economics, Engineering, Mathematics, Operations Research, Management Science) preferable
• Background and experience in Capacity Planning and Operation analytics domain with 3 - 5 years of relevant analytical experience. Strong programming knowledge of SAS, SQL R/Python, 2 out of these is must.
• Strong planning, Time management, organizational, analytical, problem-solving skills. Strong analytical skills with business analysis experience or equivalent. In-depth knowledge and understanding of financial-services/ banking-operations is a must.
• Must be a self-starter and will be required to work under minimal supervision, but with firm deadlines.
• Ability to confidently interact with senior management and communicate and synthesize information in a simple form.
• Besides strong written and verbal communication skills the incumbent is also expected to have strong presentation skills.
  
  

You’ll achieve more when you join HSBC.

www.hsbc.com/careers

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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