HSBC India Recruitment 2026: Junior Associate – Python Developer (Bengaluru)

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Global banking and financial services giant HSBC has opened applications for the position of Junior Associate – Python Developer. This is a Hybrid, Full-Time opportunity based out of their technology and electronic data operations hub in Bengaluru, Karnataka.

⚠️ Urgent Deadline: This position was posted on 30 June 2026, and the application window closes strictly on 07 July 2026. Early submission is highly recommended to clear the initial automated screening loops.

While the job title says “Python Developer,” this is not a generic software engineering role. This is a highly specialized, quantitative role sitting directly at the intersection of Structured Finance, Credit Portfolio Management, and Financial Engineering. You will be using Python to automate, model, and manage complex international credit risk assets, securitizations, and Collateralized Loan Obligations (CLOs).

HSBC Job Posting: Overview

Attribute	Details
Company	HSBC Electronic Data Processing (India) Private Ltd
Job Role	Junior Associate – Python Developer
Job Location	Bengaluru, Karnataka, India
Work Style	Hybrid Worker
Job ID	50045
Employment Type	Full-Time
Date Posted	30 June 2026
Apply By Date	07 July 2026
Application Fee	₹0/- (100% Free)

Core Roles & Responsibilities

In this role, your technical and financial capabilities will be applied to the lifecycle management of global securitized assets and portfolios. Your day-to-day deliverables include:

• Portfolio Remediation: Monitor, investigate, and fix static data discrepancies and missing data records within the reference portfolio. Handle manual booking and tagging of securitized facilities and Non-Performing Income (NPI) lines where automated systems haven’t yet been implemented.
• Asset Modeling & Reconciliation: Build quantitative models and perform strict substantiation/reconciliation checks for Reimbursement Right Assets and Compensation Receivables.
• Compliance & Investor Reporting: Generate ESMA (European Securities and Markets Authority) regulatory reports, quarterly investor statements, and coordinate internal data audits during Legal Due Diligence phases.
• Audit Liaison: Manage Agreed Upon Procedures (AUP) alongside independent external accounting firms (like KPMG) to verify that data pulled from HSBC systems perfectly matches active facility agreements.
• Financial & Fee Calculation: Calculate quarterly investor guarantee fees, accounting accurately for collateral interest and operational expenses. Manage claims processing for defaults occurring inside the securitization pipeline.
• Lifecycle & Document Control: Review legal participation and loan transfer documents ahead of policy signing. Maintain data integrity rooms with insurance brokers, execute NDAs, and support closing/settlement activities.

Required Technical Skills & Domain Expertise

To clear HSBC’s specialized screening process, you must bridge the gap between financial theory and data automation.

Mandatory Technical Skills:

• Python Coding Proficiency: Python is strictly mandatory. You need a solid grasp of writing clean, efficient automation scripts, manipulating data frames (using libraries like Pandas/NumPy), and executing quantitative data reconciliations.

Domain & Industry Knowledge:

• Banking Regulations: A firm understanding of international banking compliance frameworks, particularly around capital treatments and securitization regulations.
• Credit Risk Mitigation: Working familiarity with credit risk techniques, including credit insurance, credit derivatives, and structured loan products.
• Professional Background: Prior exposure or academic specialization in Banking, Structured Finance, Capital Markets, or Credit Portfolio Management.

Step-by-Step Strategic Application Plan

1.Target the Python-Finance Intersection:Before July 7, 2026.

Do not submit a generic software developer resume. Reframe your profile to highlight Python projects that deal with data analysis, financial modeling, automation scripts, or relational databases. Explicitly mention keywords like Data Reconciliation, Financial Automation, or Quantitative Analysis.

2.Submit via the Official HSBC Career Engine:Use the unique tracking ID.

Navigate to the HSBC global careers platform and search for Job ID: 50045. Double-check that your profile is flagged for the Bangalore location and hit submit well before the July 7 cutoff to prevent database timeout exclusions.

3.Master Data Manipulation and Securitization Basics:Prepare for technical interview panels.

Expect the evaluation loops to test your ability to clean messy data pools using Python. Additionally, brush up on fundamental structured finance concepts—understand what a CLO is, how loan defaults affect a portfolio, and why data verification audits matter.