Analyst- Data Engineering

HSBC’s interview process typically starts with an online aptitude and coding test lasting 60‑90 minutes, followed by a technical interview focusing on Python, SQL and data‑pipeline concepts. The final HR round evaluates cultural fit, communication skills and motivation. Candidates should practice problem‑solving under time pressure and be ready to discuss real‑world data engineering scenarios.

HSBC promotes a collaborative and inclusive work environment where employees are encouraged to innovate and grow. The bank offers clear career progression, extensive learning resources and a balanced hybrid model that supports both personal and professional well‑being.

Graduates (B.Tech/B.E., B.Sc., B.Com, M.Tech, MBA) in Engineering, Computer Science, Finance, Economics or related fields; minimum 60% aggregate or CGPA 6.0/10; no active backlogs; batch 2025‑2027; strong analytical mindset and good communication skills in English.

Round 1: Online aptitude & coding test → Round 2: Technical interview (Python/SQL/VBA, data engineering concepts) → Round 3: HR interview (fit, motivation, cultural fit)

HSBC is one of the world’s largest banking and financial services organisations, operating in 64 countries and territories. With a heritage that spans more than 150 years, the bank has built a reputation for stability, innovation and a commitment to helping customers and businesses thrive. In India, HSBC combines global expertise with local market knowledge, offering a diverse range of services from retail banking to corporate finance and investment banking. The company places a strong emphasis on technology and data, investing heavily in digital platforms, AI‑driven analytics and modern engineering practices to stay ahead in a rapidly evolving financial landscape. The Analyst – Data Engineering role sits within the Valuations and Analytics Group of Product Control, a specialised global team that ensures accurate fair‑value calculations for traded instruments. The Bangalore office works closely with counterparts in London, Kraków and Paris, providing a truly international exposure. As a fresher joining this team, you will be part of a collaborative environment where quantitative finance, data engineering and software development intersect. The role offers a unique blend of finance domain knowledge and hands‑on technical work, making it an ideal launchpad for a career in financial data engineering. **Key Responsibilities** 1. Design, develop and maintain automated data pipelines using Python, SQL and VBA to improve control and analytical processes. 2. Build and deploy micro‑service‑based solutions that feed standardized data to various Product Control stakeholders. 3. Collaborate with the Technology department to ensure seamless integration, testing and deployment of data services. 4. Provide day‑to‑day support to Product Control users, troubleshooting data issues and enhancing user experience. 5. Lead projects that standardise and streamline data workflows across Front Office, Independent Model Review, Middle Office and Market Risk Management. 6. Participate in the development of a Citizen Developer framework, creating reusable components for non‑technical users. 7. Conduct trade data analysis, validation and management to support valuation and P&L reporting. 8. Liaise with Finance IT, FO Quants and Valuations teams to translate business and regulatory requirements into technical solutions. 9. Write clean, test‑driven code and maintain version control using Git and Jira. 10. Continuously explore innovative solutions to short‑term issues and long‑term strategic objectives. **Tech Stack**: Python (pandas, OOP), SQL, VBA, Git, Jira, RESTful micro‑services, basic cloud concepts. **Growth Path**: Successful analysts can progress to Senior Analyst, then to Associate/Lead roles within Product Control Analytics, or transition into broader Data Science, Quantitative Research or Technology leadership tracks across HSBC’s global network. **Why Join HSBC?** HSBC offers a global platform with exposure to cutting‑edge financial products and a culture that values continuous learning, diversity and work‑life balance. Fresh graduates receive structured onboarding, mentorship from seasoned professionals and opportunities to work on high‑impact projects that directly influence the bank’s risk and valuation frameworks. The hybrid work model provides flexibility while fostering strong team collaboration.