Assistant Manager - TR Market Data Management

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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 Assistant Manager - Traded Risk Market Data Management

In this role, you will:

• Identify repeatable Market Risk BAU activities and translate them into controlled AI-automation opportunities using Python, prompt engineering and structured outputs.
• Implement validation checks, exception handling, audit trails, logging and monitoring to ensure AI and risk-data processes are accurate, controlled and compliant.
• Consolidate Market Risk and Counterparty Credit Risk measures, support regulatory submissions and disclosures, and prepare Group-level risk management and FRTB materials.
• Validate, analyse and report stressed P&L, Market Risk and Counterparty Credit Risk results across scenarios; prepare governance packs, dashboards and senior management insights.
• Manage market data and scenario inputs used in VaR, Expected Shortfall and Stressed VaR calculations; monitor data quality, investigate exceptions and support remediation.
• Own front-to-back risk data, limit monitoring, risk calculations, controls and reporting across Equities, Credit, Rates, FX and Markets Treasury, including analysis of key risk metrics and drivers.
• Monitor counterparty exposure limits, assess the impact of market events, maintain accurate risk records and reporting, and collaborate with Front Office, Legal and Compliance teams.
• Maintain an effective global control framework, support RCAs, continuous monitoring, audits and issue management, while working collaboratively across teams, cultures and seniority levels to deliver accurate results under tight timelines.

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.
• Experience with vendor market data systems such as Refinitiv (Reuters) and Bloomberg, along with working knowledge of tools including JIRA, Confluence and SharePoint.
• 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, risk measures such as PVBP and VaR, and related systems, with a high level of competency in producing, processing, analysing and interpreting traded-risk reports. 

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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