Manager – Market Data Management
2 weeks ago
Description - External
Some Careers grow faster than others.
If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.
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 Manager – Market Data Management (FRTB) GSC’S
Work Location- Bangalore
Why join us?
MDM plays a key role within the central Risk function by capturing, validating and providing detailed analysis on scenarios across all asset classes and global regions for the market risk factors. They control the market data inputs to the risk engines for the computation of 1-day, 10-day VaR, Stressed VaR and CVA for the entire trading portfolio of the Bank. The team also provides ad-hoc analysis on events that affect markets globally and could potentially have a material impact on VaR , US elections, Turkey sell-off etc. They also support the Transformation team in regulatory and internal change initiatives which allow closure of RNIV’s, streamline processes and improve data governance. RequirementsQualifications - External
Knowledge & Experience / Qualifications
Qualifications
At least 5+ years of work experience in Market Risk domain preferably with an investment bank Candidate should have a good knowledge of Value at Risk models, market risk and a good understanding of financial instruments. Prior experience in time series & VaR analysis would be preferred. Prior experience in FRTB IMA would be preferred. Good communication skills with a proactive approach & ability to work independently. Candidate from reputed institutes is preferred – Tier 2 B Schools or Tier 1 engineering colleges Proficiency in Microsoft Excel and experience in python (or any other coding language) is preferred. Professional certification like FRM / CFA /CQF can be an added advantage.-
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