Introduction

If you are looking for an exciting opportunity in data engineering within the banking and financial services industry, HSBC Data Engineering Jobs offer an excellent career path. HSBC has announced recruitment for the Analyst – Data Engineering position in Bangalore, Karnataka. This hybrid role is ideal for candidates with strong Python, SQL, VBA, and analytical skills who want to contribute to one of the world’s leading financial institutions.

The selected candidate will work with the Product Control Analytics team, supporting data automation, valuation analytics, strategic infrastructure, and financial data management. The role provides exposure to global teams, innovative technologies, and challenging projects involving automation, trade data analysis, and quantitative solutions.

Whether you are an early-career professional or an experienced candidate looking to grow in financial technology, these HSBC Data Engineering Jobs provide excellent learning opportunities, competitive benefits, and long-term career growth.

Job Overview

Job Summary

HSBC is hiring an Analyst – Data Engineering to join its Product Control Analytics team in Bangalore. The role focuses on developing automated solutions, supporting financial data processes, improving operational controls, and working closely with technology and business teams.

Candidates will build Python and SQL-based automation, manage financial datasets, support microservice development, and collaborate with Product Control, Market Risk, Front Office, and Finance Technology teams.

This position offers exposure to global banking operations, derivative valuation support, and enterprise-scale data engineering projects while working in a hybrid environment.

About HSBC Analyst Data Engineering Jobs

HSBC Data Engineering Jobs provide an opportunity to work with one of the largest banking and financial services organizations in the world. HSBC operates in more than 60 countries and supports millions of customers through innovative financial products and digital banking solutions.

The Product Control Analytics team plays a critical role in ensuring accurate valuation of financial instruments and improving the control framework across Global Banking and Markets. Data engineers in this team develop automation tools, optimize financial reporting processes, and support valuation methodologies through advanced analytics.

As an Analyst – Data Engineering, you will collaborate with quantitative analysts, software engineers, finance professionals, and technology teams across multiple global locations including London, Paris, Kraków, and Bangalore.

This role combines software engineering, financial analytics, and data engineering, making it an excellent opportunity for professionals who enjoy solving complex business problems using technology.

Working at HSBC also provides opportunities for continuous learning, international collaboration, flexible work arrangements, and career progression within one of the world’s most respected banking organizations.

Roles and Responsibilities

The selected candidates will be responsible for:

• Build automated data solutions using Python, SQL, and VBA.

• Develop services within the Product Control strategic infrastructure.

• Improve existing analytical and operational control processes.

• Support standardized financial data delivery across Product Control teams.

• Collaborate with Technology teams for solution deployment.

• Maintain data quality and reporting accuracy.

• Analyze trade, valuation, position, and P&L data.

• Develop and support Citizen Developer frameworks.

• Create reusable software components.

• Work with Product Control stakeholders to gather business requirements.

• Support financial data automation initiatives.

• Develop SQL-based solutions for complex business problems.

• Perform testing and validation before deployment.

• Coordinate with Finance IT and Front Office Quantitative teams.

• Assist in regulatory compliance and financial reporting.

• Participate in continuous process improvement initiatives.

• Document technical solutions and workflows.

• Provide day-to-day support for Product Control users.

• Investigate production issues and implement fixes.

• Contribute to strategic automation projects across global teams.

Required Skills

Candidates applying for HSBC Data Engineering Jobs should possess strong technical expertise along with excellent analytical and communication abilities.

Technical Skills

• Python Programming (Advanced Level)

  • Data manipulation, scripting, automation, and backend logic development

  • Experience with libraries like Pandas, NumPy, and PySpark (preferred)

• SQL (Strong Proficiency)

  • Complex joins, subqueries, window functions

  • Query optimization and performance tuning

  • Experience with relational databases (Oracle, SQL Server, PostgreSQL)

• VBA (Excel Automation)

  • Macro development for financial reporting automation

  • Excel-based data processing and workflow optimization

• Object-Oriented Programming (OOP)

  • Class design, inheritance, polymorphism, encapsulation

  • Clean code principles and modular development

• Pandas Library (Data Analysis)

  • Data cleaning, transformation, aggregation

  • Handling large datasets efficiently

• Git Version Control

  • Branching strategies, pull requests, code versioning

  • Collaboration in team-based development environments

• Jira (Agile Workflow Tool)

  • Task tracking, sprint planning, issue management

  • Agile/Scrum development exposure

• Test Driven Development (TDD)

  • Writing unit tests before code implementation

  • Ensuring code reliability and maintainability

• Financial Data Analysis

  • Trade lifecycle understanding

  • P&L analysis, valuation concepts, risk metrics

• Data Automation & ETL Concepts

  • Data extraction, transformation, and loading pipelines

  • Workflow automation for financial reporting

• Database Development

  • Schema design, indexing, query optimization

  • Data integrity and normalization principles

• Microservices Architecture (Preferred)

  • API-based service design

  • Scalable and distributed system understanding

• Data Visualization Tools (Good to Have)

  • Power BI / Tableau exposure for reporting dashboards

Soft Skills

• Excellent communication skills

• Strong analytical thinking

• Problem-solving ability

• Team collaboration

• Stakeholder management

• Time management

• Attention to detail

• Adaptability

• Critical thinking

• Documentation skills

• Continuous learning mindset

• Ability to work in global teams

Eligibility Criteria for HSBC Analyst Data Engineering Jobs

Candidates interested in HSBC Data Engineering Jobs should meet the following eligibility requirements:

• Bachelor’s degree in Engineering, Finance, Economics, or a related discipline.

• Good programming knowledge in Python.

• Strong SQL skills.

• Understanding of Object-Oriented Programming principles.

• Knowledge of Git, Jira, and software development practices.

• Experience working with financial datasets is preferred.

• Familiarity with Pandas library.

• Good written and verbal English communication skills.

• Strong analytical and logical reasoning abilities.

• Ability to work in a hybrid environment.

• Experience in Product Control or Valuations is beneficial but not mandatory.

Preferred Skills

HSBC prefers candidates who also possess the following skills:

• Experience with derivative valuation concepts.

• Knowledge of Market Risk Management.

• Understanding of financial instruments.

• Experience with automation frameworks.

• Familiarity with microservice architecture.

• Exposure to enterprise-scale data engineering projects.

• Knowledge of regulatory reporting.

• Experience with Agile development methodologies.

• Banking or financial services experience.

• Ability to manage multiple projects simultaneously.