Manager,Regional Collections Analytics

HSBC Holdings plc; Hyderabad; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

HSBC Holdings plc in Hyderabad is seeking a Manager, Regional Collections Analytics to lead analytical projects that optimize workload, capacity and forecasting across regions. You will partner with business leaders to drive data-driven decisions and deliver insights that improve efficiency and reduce risk.

The role requires strong SAS/SQL/Python skills, experience with ETL, dashboards and reporting, and the ability to communicate complex analyses to senior stakeholders.

Qualifications

• 2-5 years of relevant analytical experience.
• Strong programming knowledge of SAS, SQL, Python; 2 out of these is must.
• Experience with data extraction, transformation and loading (ETL).

Responsibilities

• Demonstrate excellent analytical ability with conceptual understanding of workload distribution, productivity, capacity planning and cost.
• Act as SME on analytical solutioning for multiple businesses/regions and govern data.
• Create tools and methodologies and develop recommendations using ML/AI techniques.

Skills

SAS

SQL

Python

Data governance

Education

Graduate/Postgraduate in quantitative disciplines

Tools

Tableau

Power BI

Excel

Job description

Job title: Manager, Regional Collections Analytics

Business Consulting job family is structured to address end-to-end business needs. Members of this Job Family are differentiated by their capability of providing the required consultation & work with end-business by way of assessing the requirements, identifying the right analytical solution that can solve for the business problem, and developing the same for execution – often covering areas of business growth, improving customer experience, limiting risk exposure, enhancing internal business processes etc. They are required to, as necessary, embed agile & exploratory practices into their approach as needed, and retain the flexibility to change track to adopt other solutions based on changed scenarios, to deliver on effective results. This talent group can be tapped into for providing solutions for varying areas including improving existing processes, technology, and approaches by embedding exploratory & analytics & taking it forward with a consulting mind set.

In this role, you will:

Principal Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal control environment, etc.) may include a subset of the listed items, depending on the specific needs of the role

• Demonstrate excellent analytical ability with conceptual understanding of how Workload Distribution, Productivity, Capacity Planning, SLA work and operation cost in tandem for efficiency. Prepare workforce and capacity summary for management reviews.
• Act as an SME/consultant on analytical solutioning for the business problem at hand for multiple businesses/regions. Data management and governance using state-of-the-art methods.
• Create new tools and methodologies and develop recommendations to solve complex analytical problems using various techniques including ML and AI.
• Develop forecasting models and framework to improve forecast accuracy by incorporating historical trends, new drivers and ongoing enhancement to models
• Partner with the business effectively to drive data driven decisions and generate value.
• Communicate proactively to regional and country stakeholders on issues related to variances, workload or capacity and suggest through remediation action.
• Deliver monthly Governance pack and insights on all KPI and reporting suite.
• Take direction from line manager in right scoping of projects or adhocs and set right expectation on requirement to avoid conflicts.
• Can link to the 'bigger picture' and be able to understand the impact of various strategies, policies and events and ability to provide recommendation and guiding team.
• Build good understanding of business domain, functional goals, and the required technical expertise.
• Establish quality standards in terms of timeliness of the projects and accuracy of the deliverables.
• S/he should have analytical independent thought process and can-do attitude towards all the problems needing a solution.
• Complete other related duties as assigned and support the Company’s Diversity programs.
• Ensure adherence with all the applicable compliance policies (Data security policy, AML, operational risk, Functional manual, Group Compliance Manual, Audit recommendations, Internal Control requirements, regulatory guidelines etc.) and business standards of Organization as applicable. Take timely action on Audit comments and be able to demonstrate compliance with Internal controls.

Leadership & Teamwork

• Closely interact with the FCS Operations teams from GSC sites and FCS Regions to understand the analytical requirements with minimal handholding and support analytical plan/approach independently to build analytical solutions.
• Ability to articulate complex analytical findings clearly and concisely to both technical and non-technical audiences, fostering strong relationships with cross-functional teams
• Proven ability to break down ambiguous business challenges into solvable analytical problems, design effective solutions, and drive them to execution.
• Demonstrated capability to work effectively in a collaborative environment, contributing to team goals and sharing knowledge.
• Strong analytical mindset with the ability to critically evaluate information, question assumptions, and continuously seek out new learning opportunities and innovative approaches.
• Ability to thrive in a dynamic, fast-paced environment, adapt to changing priorities, and maintain effectiveness under pressure.
• A self-starter with a strong sense of ownership over projects and outcomes, consistently identifying opportunities for improvement and driving initiatives forward.

To be successful you will:

• Graduate or post-graduate degree in quantitative disciplines (Statistics, Economics, Engineering, Mathematics, Operations Research, Management Science) preferable
• Background and experience in Workforce management, Capacity Planning and Operation analytics domain with 2 - 5 years of relevant analytical experience
• Strong programming knowledge of SAS, SQL, Python, 2 out of these is must.
• Hands-on exposure to MI & Reporting, Excel, Analytics, Statistical Analysis, Modelling, Predictive Analytics.
• In-depth knowledge and understanding of financial-services/ banking-operations is a must.
• Strong working knowledge on Statistical Analysis concepts and application
• 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.

Functional Knowledge

Applies to all roles

Data Foundation:

• Strong understanding of data management principles, data governance, and data quality best practices.
• Proven ability to work with large, complex datasets from various sources.
• Experience in data extraction, transformation, and loading (ETL) processes.

Programming & Big Data Ecosystems:

• Strong programming skills in at least two of the following: SAS, Python, R, SQL, Alteryx, Java - Spring Boot, ReactJS, Tableau, Qlik, Looker, Power BI, or similar platforms (Specific to the role)
• Hands-on experience with cloud platforms (e.g., Google Cloud Platform (GCP), AWS, Azure) and/or big data ecosystems (e.g., Hadoop).
• Proficiency with GCP tools like DataProc, BigQuery or similar technologies on other platforms.
• Experience with distributed computing frameworks such as Spark and Hive SQL (Good to have)
• Exposure to best coding practices and optimization techniques

Operational & Strategic Impact (must-have for mid-level professional)

• Ability to support and lead governance (strategy and policy) across various analytical initiatives.
• Experience in spearheading new initiatives in Operations Analytics that drive business value and improve operational efficiency.

Applicable to Operations Analytics & Reporting, Model Monitoring and Business Insights (Visualization) roles only

• Performance Monitoring: Experience in developing and validating analytical models for performance monitoring and risk assessment.
• Visualization & Dashboards: Prior experience with data visualization and dashboarding tools like Tableau, Qlik, Looker, Power BI, or similar platforms.
• Problem-Solving: Demonstrated capability to solve unstructured business problems using a data-driven approach and design thinking principles.
• Proficiency in statistical analysis concepts and their practical application.

Applicable to Innovation/Data Science roles only

• Solid understanding of statistical modelling techniques and their application in an operational context (must have)
• Experience with Gen AI and machine learning models for classification, regression, and clustering (e.g., Decision Trees, Random Forests, k-NN, Naive Bayes, Gradient Boosting, Artificial Neural Networks).
• Knowledge of forecasting techniques, market research methodologies, and multivariate analysis tools (e.g., factor analysis, cluster analysis).
• Should be efficient in prompt engineering techniques like CoT, ToT etc.
• Understanding and integration of Generative AI concepts, large language models (LLMs), and their potential applications in areas within operational analytics
• Ability to interpret model results, assess model performance, and explain complex models to non-technical stakeholders

Applicable to SmartOps roles only

• Strong programming skills in Java - Spring Boot, ReactJS or similar platforms
• Hands-on experience with cloud platforms (e.g., Google Cloud Platform (GCP), AWS, Azure)
• Fraud & Credit Risk Management: Deep understanding of various fraud schemes, prevention methodologies, and comprehensive knowledge of credit risk assessment across the entire credit lifecycle.
• Intelligent Automation & Smart Operations: Practical knowledge of Robotic Process Automation (RPA) and broader Smart Operations concepts (integrating AI/ML) for optimizing efficiency, accuracy, and proactive risk management within financial processes.
• Operational Systems & Data Analytics: Proficiency with core financial operational systems, fraud detection platforms, and leveraging data analytics for monitoring, investigation, and informed decision-making.

Preferred Qualifications:

Applies to all roles

• At least 1-7 years of relevant hands-on experience in Data Analytics / Operation analytics/ Work-force management/ Capacity Planning / Statistical Modelling & Machine Learning / Visualization & Dashboarding / Java - Web Development / DevOps Tools
• Familiarity with financial services and banking operations is good to have.

Domain Specific Qualifications

• Operations Analytics and Reporting/ Model Monitoring Role – Graduate/Postgraduate degree in quantitative disciplines (e.g., Statistics, Economics, Engineering, Mathematics, Operations Research, Computer Science).
• Innovation/Data Science Role - Graduate / Postgraduate degree in quantitative disciplines with experience in data science specializing in a relevant field such Machine Learning, Data Mining, Text Mining, Artificial intelligence/Computer Science, NLP and deep learning.
• SmartOps/Business Insights Role - Graduate / Postgraduate in computer science related field, information systems or other engineering specializations or equivalent.

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You’ll achieve more at HSBC

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