Analytics Modelling

• The individual will be responsible to streamline the FC process/reporting in a timely and accurate manner.
• Be a part of the culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives.
• Help the business to manage regulatory risk in a more effective, efficient, and commercial way through the adoption of streamlining / data analytics activity.
• Support communication and engagement with stakeholders and partners to increase understanding and adoption of analytics products and services also research opportunities.
• Collaborate with other analytics teams across the banks to share insight and best practice.
• Foster a collaborative, open and agile delivery culture.
• The ability to communicate often complex analytical solutions to the wider department, ensuring a strong transfer of key findings & intelligence.
• Continuously learn and adapt to emerging trends and technologies/tools, proactively seeking opportunities to improve the solution.

Customer / Stakeholders

• Reporting to Head of Future Analytics – FC Digital Enablement or a senior delegate
• Partner with relevant stakeholders across IT, Product management, SVS to deliver innovative & quick analytical solutions to meet business demand

Typical Targets and Measures

• Stakeholder and Sponsor feedback and engagement
• Efficiency and effectiveness of products & services
• Project delivery and timelines
• Risk identification, management, and mitigation
• Improved coverage of emerging risks.
• Quality of solution
• Response to risks, issues and findings

Innovation & technology adoption

Leadership & Teamwork

• Encourage Teamwork and Collaboration: Actively engage with team mates, share knowledge and best practices, and provide support and mentorship to junior members, fostering a strong sense of teamwork.
• Uphold Organizational Values: Lead by example in maintaining the organization's values and standards of excellence, promoting a positive work environment that encourages continuous learning and professional development.
• Collaborate on Projects: Work closely with team members on various projects and initiatives, leveraging diverse perspectives and expertise to achieve shared goals and deliver high-quality results.
• Serve as a Subject Matter Expert: Provide guidance and support on complex technical issues, problem-solving, and decision-making, positioning yourself as a valuable resource for the team.
• Engage in Knowledge Sharing: Actively participate in team meetings, brainstorming sessions, and knowledge-sharing forums, contributing insights and ideas that drive innovation and continuous improvement.
• Embrace Change: Lead by example in adapting to evolving business needs and technological advancements, inspiring team members to approach new challenges and opportunities with enthusiasm and resilience.

Qualifications

• Graduation / Post Graduation degree in Computer Science, Statistics, Mathematics, Economics or any other quantitative discipline
• Experience in visualization technologies such as Qlikview/Spotfire/Tableau.
• Experience in workflow tools like PowerAPP/ Google AppSheet etc
• Should be adept in using MS Office with exceptional MS Excel Skills. Exposure to VBA will be advantageous.
• Experience of working in Analytics (BFSI domain would be a plus) with excellent data engineering skills using SQL, Python/R, Hive/Scala/Spark;
• Knowledge of statistical techniques would be a plus
• Should be highly skilled in communicating complex ideas.
• Strong analytical thought process and aptitude for problem solving.
• Excellent communication skills (both verbal and written)

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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