Analyst - Traded Risk Analysis

HSBC · Bengaluru

  • Experience3–4 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted23 Sept 2026

About HSBC

HSBC is hiring in Bengaluru in financial services. This role looks for around 3+ years of experience.

Skills

  • Market Risk
  • Python
  • pandas
  • NumPy
  • API integration
  • async programming
  • data manipulation
  • agentic applications
  • prompt engineering
  • quantitative risk measures

The role

A traded risk analyst at a banking and financial services organisation identifies market risk automation opportunities and applies Market Risk, Python, and prompt engineering to build auditable AI workflows for risk reporting. The role also uses agentic applications and quantitative risk measures.

Full job description

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Analyst - Traded Risk Analysis.

In This Role, You Will

Identify repeatable BAU Market Risk tasks (e.g., reconciliation checks, commentary drafting inputs, threshold alerts) and translate them into AI-automation opportunities with clear scope, benefits, and control requirements. Assist in building AI-enabled workflows using Python as the orchestration layer (data extraction, feature preparation, model/LLM calls, output formatting) to reduce manual effort and turnaround time. Apply prompt engineering and structured output patterns (templates, JSON schemas, guardrails) to produce consistent, auditable AI outputs suitable for risk reporting and operational processes. Implement data quality and validation checks around AI pipelines (input completeness, exception handling, reasonableness tests) and document logic to support BAU controls and change governance. Support deployment and monitoring of AI automations (basic logging, performance drift flags, exception queues) and contribute to continuous improvement based on user feedback and incident learnings. Ownership of the front to back market risk data, analysis and reporting activities for the asset class, which is divided into Equities, Credit, Rates & FX, and Markets Treasury. Risk Data (sensitivities and risk metrics) Monitoring and Management to ensure accuracy, completeness, and timeliness of risk Analysis and Reporting. Risk Analysis to perform explains on the drivers behind the movements in risk metrics such as sensitivities (PV01, CS01, EQ delta, Gamma etc.), VaR/SVaR/IRC and FRTB SA & IMA metrics etc. Drive the analysis and reporting of market risk metrics to Risk Managers, Traders, Senior Management and Regulators. Drive the implementation of processes and policies to deliver service excellence by clearly communicating the rationale across sites and ensuring that the entire team functions as one coordinated unit.

To Be Successful You Will

Working proficiency in Python, including API integration, async programming, and data manipulation (pandas/numpy). Hands-on experience building agentic applications — this can come from personal projects, hackathons, internships, or professional work Practical exposure to at least one agent orchestration framework (LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel) or direct experience with the Claude/OpenAI/Gemini APIs including function calling and tool use. Understanding of prompt engineering fundamentals: system prompts, chain-of-thought/structured reasoning prompts, few-shot examples, output formatting (JSON schemas, XML tags). Professional certification like FRM / CFA /CQF can be an added advantage. Good to have experience in using vendor market data systems like Refinitiv (Reuters) and Bloomberg Good to have working knowledge in tools like JIRA, Confluence, SharePoint etc. A degree / qualification in Finance, Engineering, Business Management or previous experience in Risk Management (Market Risk) or quantitative courses Strong foundation in risk management principles, understanding of risk measures (i.e. PVBP, VaR) and systems

You’ll achieve more at HSBC

hsbc.com/careers

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

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Issued By HSBC Electronic Data Processing (India) Private LTD***