Job description
Business: Central Ops Enterprise Performance Mgmt, Business Performance Analytics
Open positions: 1
Role Title: PERFORMANCE ANALYTICS SENIOR ASSOCIATE GSC’s
Global Career Band: 5
Location (Country / City ): India/Hyderabad
Recruiter Name : Chiransha Gupta
Why join us?
- We are dedicated to delivering operational excellence and facilitating informed decision-making across the organization. This department focuses on leveraging cutting-edge data analytics and decision science methodologies to refine processes, mitigate risks, enhance compliance, and reduce operational inefficiencies. We work closely with Ops to deliver insights that empower Leaders to streamline operations, enhance cost-effectiveness, and fortify the institution's resilience against disruptions. Through rigorous analysis and strategic guidance, we play a pivotal role in enhancing the organization's overall operational efficiency and resilience.
The Opportunity:
- This role will play a pivotal role in driving operational excellence and informed decision-making. The role is focused on harnessing advanced data analytics and decision science methodologies to improve processes, mitigate risks, enhance compliance, and reduce operational inefficiencies. The role involves analyzing large, multi-dimensional datasets to identify patterns, and develops predictive models to preempt potential bottlenecks, errors, or risks. Additionally, the role will collaborate with cross-functional teams, providing insights that empower decision-makers to streamline operations, enhance cost-effectiveness, and improve the institution’s overall resilience to disruptions.
What you’ll do:
- The candidate will deliver on the implementation of the framework through following activities
Impact on the Business
- Develop, implement, and maintain advanced decision-support models (e.g., predictive analytics, optimization, and simulation) to address business challenges.
- Analyze complex datasets to identify trends, opportunities, and risks, providing actionable insights to stakeholders.
- Deliver quantitative models and algorithms that support strategic decisions, operational efficiencies, and revenue growth.
- Quantify and communicate the business impact of implemented solutions to demonstrate value creation.
- Develop actionable hypotheses and apply the right mix of qualitative and quantitative analytical techniques to identify causes and solutions
Customers / Stakeholders
- Collaborate with business leaders, product teams, and other stakeholders to understand requirements and translate them into data-driven solutions.
- Present analytical findings and recommendations in a clear, concise manner, tailored to the needs of non-technical audiences.
- Partner with stakeholders to integrate decision science models into business workflows and customer-facing applications.
- Act as a trusted advisor to internal and external stakeholders by offering insights that enhance customer satisfaction and experience.
Operational Performance
- Ensure the scalability, reliability, and performance of developed models through rigorous testing and validation.
- Optimize existing processes and decision systems using automation, machine learning, and advanced analytics.
- Develop dashboards and real-time reporting tools to monitor the effectiveness of decision science initiatives.
- Drive continuous improvement by regularly evaluating the performance and relevance of analytical tools and processes.
Capability and People Development
- Stay abreast of industry trends, emerging technologies, and best practices in data science and decision analytics.
- Contribute to the development of the organization’s data science capability by implementing innovative techniques and sharing knowledge.
Leadership & Teamwork
- Actively contribute to the strategic direction of decision science by identifying new opportunities and championing data-driven approaches.
- Promote teamwork by being an excellent communication, with strong stakeholder management skills, across varied geographies and cultures.
Operational Effectiveness & Control
- Ensure compliance with regulatory and ethical standards in the use of data and models.
- Implement robust documentation and version control practices to maintain transparency and reproducibility.
- Monitor the accuracy and reliability of data pipelines and ensure data integrity across all stages of analysis.
- Mitigate risks associated with decision-support systems through thorough validation, testing, and regular audits.
Major Challenges
- The programme is highly complex, including: a diverse matrix, senior stakeholders, substantial work-streams.
- Managing across a wide variety of differing core processes and data technologies.
- Need to be able to work at multiple levels of the organization: senior management to ensure alignment and support for the program as well as project teams responsible for execution and delivery.
Requirements
What you will need to succeed in the role:
- To be successful in this exciting role, you should possess a combination of technical skills, analytical acumen, and collaborative abilities. Here are the key attributes and qualifications needed:
Technical Expertise:
- Proficiency in data analytics tools and software, such as Python, Alteryx and SQL.
- Experience with data visualization tools like Qliksense.
- Strong understanding of predictive modeling techniques and machine learning algorithms.
Analytical Skills:
- Ability to analyze large, multi-dimensional datasets to identify patterns and trends.
- Expertise in developing predictive models to anticipate operational challenges.
- Competence in conducting risk assessments and devising data-driven mitigation strategies.
- Experience in providing scenario analysis and simulations to support strategic decision-making.
Problem-Solving Abilities:
- Strong critical thinking skills to identify inefficiencies and propose cost-saving measures.
- Capability to implement anomaly detection systems and ensure data integrity.
Communication and Collaboration:
- Excellent communication skills to convey complex data insights to non-technical stakeholders.
- Ability to work collaboratively with cross-functional teams to drive strategic initiatives.
Adaptability and Resilience:
- Flexibility to adapt to changing business needs and priorities.
- Resilience to work in a fast-paced environment and manage multiple projects simultaneously.
Leadership capabilities
- Navigating – Understanding business strategy and aligning directions accordingly
- Aspiring – Being ambitious about providing the highest standards of delivery
- Driving – Setting stretching goals for self and delivering them with courage and tenacity
- Mobilising – Authentically engaging with colleagues and business partners to deliver at pace
Educational Background:
- Bachelor’s degree in numerate subject, perhaps mathematics or equivalent experience; Master’s degree preferred.
- Alteryx developer certification is a must. Python, SQL and Machine learning certifications are good to have.
- Demonstrated knowledge of Financial Services (Banking, Wealth Management, and Capital Markets) business processes and resultant information needs: client, risk / regulatory / finance, etc.
- By combining these skills and attributes, a candidate can effectively contribute to the department's mission of enhancing operational excellence and informed decision-making within the organization.
(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
Chiransha Gupta
Courriel de recruteur
chiransha.gupta@hsbc.co.in