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HSBC is hiring for an FRESHER entry level Analyst - Data Engineering role in India




Position: Analyst - Data Engineering

  • Job Title: Analyst - Data Engineering

  • Role Category: Data Engineering, Analytics & Financial Quantitative Solutions

  • Designation Level: Entry Level / Fresher Analyst

Company: HSBC

  • Organization Name: HSBC Electronic Data Processing (India) Private Limited

  • Parent Entity: HSBC Holdings plc

  • Industry Sector: Banking, Financial Services, and Global Markets

Location: Bangalore, Karnataka, India

  • Primary Workplace Location: Bangalore, Karnataka, India

  • Workplace Ecosystem: Global Capability Centre (GCC) / Technology Hub

Job Type: Full-time

  • Employment Status: Regular Full-Time Employee

  • Shift Pattern: Standard Corporate Operational Hours

Job Mode: Hybrid

  • Workplace Model: Hybrid Workplace Framework

  • Flexibility: Combination of remote work from home and on-site office collaboration

Job Requisition ID: 54291

  • Official Tracking Identifier: 54291

  • Application Posting Reference: HSBC Careers Reference 54291

Years of Experience: 0-3 years

  • Experience Range: 0 to 3 Years (Open to Freshers and Early-Career Professionals)

  • Target Candidate Level: Entry-Level Graduates and Junior Professionals

Company Description

  • Global Footprint and Reach:

    • HSBC stands proudly as one of the world's most expansive and financially robust banking and financial services organizations.

    • The institution operates a vast international network spanning across 64 countries and territories globally, connecting millions of customers to opportunities worldwide.

    • The bank continuously positions itself wherever economic growth is accelerating, actively helping businesses thrive, economies prosper, and communities grow.

    • Through comprehensive wealth management, corporate banking, retail banking, and global markets activities, HSBC enables individuals to fulfill their personal hopes and achieve their professional ambitions.

  • Culture, Values, and Inclusivity:

    • HSBC is dedicated to creating an inclusive, equitable, and highly collaborative workplace where every employee feels genuinely valued, respected, and heard.

    • The organization strongly embraces diversity, welcoming applications from individuals across all backgrounds regardless of gender, ethnicity, disability, or social status.

    • Employees are provided with continuous professional development resources, structured mentorship programs, and clear pathways to accelerate their career trajectories.

    • The corporate culture emphasizes well-being, offer flexible working arrangements, and maintains an environment where individual merit and innovation are recognized and rewarded.

  • Strategic Focus in Technology and Innovation:

    • As a global financial leader, HSBC heavily invests in state-of-the-art technological infrastructures, financial data pipelines, and quantitative engineering capabilities.

    • The organization leverages modern cloud technologies, sophisticated quantitative analytics, automated quantitative tools, and advanced data architectures to drive financial integrity.

    • Through its global capability centers in India, HSBC drives significant global initiatives that directly impact front-office, risk management, and regulatory compliance frameworks.

Profile Overview

  • Department and Core Team Context:

    • The successful candidate will join the prestigious Valuations and Analytics Group situated within the broader Product Control (PC) unit at HSBC.

    • This quantitative team carries global operational responsibility for calculating Fair Value across traded instruments in Global Banking & Markets (GBM).

    • Additionally, the team delivers critical oversight, analytical support, and strategic validation for fair value determination across all HSBC Group entities worldwide.

    • The Product Control Analytics unit operates as a centralized, highly specialized quantitative function with key operational hubs in London, Kraków, Paris, and Bangalore.

  • Primary Purpose and Strategic Mission of the Role:

    • The primary purpose of the Analyst - Data Engineering role is to architect, develop, and maintain automated computational and data pipeline solutions.

    • The role focuses on enhancing internal control structures, streamlining analytical processes, and building scalable microservices within the strategic Product Control infrastructure.

    • Analysts ensure seamless, accurate, and standardized data ingestion and distribution across multiple specialized Product Control, Market Risk, and Trading desks.

    • The position acts as a crucial quantitative bridge connecting data engineering innovation with business operations, risk modeling, and financial regulatory standards.

  • Key Responsibilities and Functional Duties:

    • Automated Solution Engineering:

      • Design, build, test, and deploy automated data pipelines and software solutions using Python, SQL, and VBA to eliminate manual analytical overhead.

      • Establish robust code bases and maintain internal software tools that support daily fair value adjustments and complex trade data calculations.

      • Develop and maintain microservices and data services embedded directly inside HSBC's global strategic financial infrastructure.

    • Data Standardization and Pipeline Management:

      • Oversee the complete lifecycle of financial data delivery, ensuring data standardization, consistency, and integrity across multiple quantitative teams.

      • Conduct thorough trade data analysis, position validation, profit and loss (PnL) attribution tracking, and valuation metric processing.

      • Troubleshoot data pipeline bottlenecks, resolve short-term operational data discrepancies, and build resilient, long-term strategic quantitative fixes.

    • Cross-Functional Collaboration and Stakeholder Engagement:

      • Partner closely with IT departments, Finance IT, Front Office Quantitative Analysts (FO Quants), and Product Control Valuations teams.

      • Collaborate with key financial stakeholders in Front Office, Independent Model Review (IMR), Middle Office, and Market Risk Management.

      • Translate complex regulatory requirements and business user specifications into robust technical architectures and automated SQL/Python tools.

    • Support for Citizen Developer Ecosystem:

      • Active participation in developing, maintaining, and expanding HSBC's internal Citizen Developer framework.

      • Empower non-engineering finance professionals by providing reusable software components, standardized coding templates, and user-friendly development environments.

      • Drive best practices in Version Control (Git), Test-Driven Development (TDD), and Agile project management methodology across internal business tools.

  • Operational Impact and Value Creation:

    • By building efficient data engines and automated quantitative tools, the Analyst directly reduces operational risk across global trading books.

    • The role directly assists HSBC in maintaining strict compliance with evolving international banking regulations and financial reporting standards.

    • Through proactive problem-solving, the Analyst transforms raw financial data into actionable insights utilized by top-tier risk managers and executive leadership.

Qualifications

  • Educational Background:

    • Graduation or Master's degree from a reputed, accredited university or academic institution.

    • Preferred academic disciplines include Computer Science, Software Engineering, Data Engineering, Quantitative Finance, Economics, Statistics, Mathematics, or related STEM fields.

    • Strong academic foundation in computational logic, mathematical reasoning, quantitative analytical techniques, and algorithmic problem-solving.

  • Technical Knowledge and Core Software Skills:

    • Programming Proficiency:

      • Hands-on software development experience using Python, with a strong grasp of Object-Oriented Programming (OOP) design patterns and principles.

      • In-depth practical knowledge of Python data science libraries, specifically the Pandas package for structured data manipulation, transformation, and aggregation.

    • Database and Querying Expertise:

      • Advanced proficiency in SQL for relational database management, data extraction, complex query optimization, and schema structure design.

      • Capability to construct, test, and release robust SQL solutions designed to handle high-volume financial transaction records.

    • Software Engineering Practices:

      • Practical familiarity with fundamental software development practices including Version Control systems (Git) and issue tracking software (Jira).

      • Understanding of Test-Driven Development (TDD) methodologies to ensure code reliability, unit test coverage, and smooth continuous integration.

      • Basic knowledge or exposure to Visual Basic for Applications (VBA) for supporting legacy desktop automation tools and financial models.

  • Domain Understanding and Preferred Competencies:

    • Working understanding or foundational exposure to financial datasets, including trade details, position books, valuation metrics, and PnL mechanics.

    • Concept familiarity or interest in microservice-driven architectures, API integration, and distributed computing frameworks.

    • Prior domain knowledge in financial derivatives, valuation methodologies, or Product Control mechanisms is considered an added advantage (though explicitly not mandatory).

  • Soft Skills and Professional Attributes:

    • Exceptional logical and analytical skills coupled with a proactive, self-driven approach to technical problem-solving.

    • Superior written and verbal English communication skills, allowing effective interaction with international stakeholders in London, Paris, and Kraków.

    • Ability to thrive in a fast-paced, multi-disciplinary global banking environment while maintaining extreme precision and attention to detail.

Additional Info

  • Workplace Culture and Environmental Benefits:

    • Hybrid Flexibility:

      • HSBC supports a progressive hybrid work model, allowing team members to balance remote working convenience with dynamic, face-to-face team collaboration.

      • Designed to help employees achieve an optimal work-life integration while maintaining high productivity standards.

    • Comprehensive Health and Wellness Programs:

      • Free, confidential 24/7 access to professional mental health counseling, manager mental health awareness training, and guided mindfulness tools.

      • Full medical insurance coverage for employees and dependents, along with access to preventative physical health assessments and wellness stipends.

    • Financial Well-being and Wealth Creation:

      • Competitive base compensation package combined with performance-linked annual discretionary bonuses.

      • Retirement saving plans and direct opportunities for employees to participate in international HSBC employee share purchasing programs.

    • Inclusion and Community Engagement:

      • Active Employee Resource Groups (ERGs) bringing together diverse communities across gender, accessibility, pride, and cultural backgrounds.

      • Dedicated volunteer leave policies enabling employees to contribute to community development, sustainability, and environmental causes.

  • Career Progression and Learning Opportunities:

    • Unrivaled internal mobility options enabling cross-functional movement into quantitative modeling, full-stack software development, or risk management.

    • Continuous learning ecosystem offering access to world-class online courses, quantitative finance certifications, and cloud architecture training.

    • Direct mentorship from world-class quantitative experts and quantitative finance leaders operating out of major global financial capitals.

  • Application Guidance and Equal Opportunity Commitment:

    • HSBC is an equal opportunity employer committed to fostering a workplace where every individual's contribution is celebrated.

    • Candidates from all backgrounds are strongly encouraged to submit their credentials for consideration based purely on merit, suitability, and potential.

    • Issued officially by HSBC Electronic Data Processing (India) Private Limited.


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