Morgan Stanley - Market Risk Associate - Market Data Time Series

We are looking for - Market Risk Associate - Market Data Time Series

For our Mumbai Office

Risk Management : 

- The cornerstone of Morgan Stanley's risk management philosophy is the execution of risk-adjusted returns through prudent risk-taking that protects Morgan Stanley's capital base and franchise. Risk Management protects the firm from exposure to losses resulting from defaults by our lending and trading counterparties. 

- The Risk Management Division is responsible for the independent identification, analysis, reporting and escalation of all market, credit and operational risk exposures arising from the Firm's business activities, acting independently of business management and providing an effective challenge process. 

Position Summary:

- Morgan Stanley is seeking an Associate to join the Market Risk Middle Office team within the Market Data Time Series function, based in Mumbai.

- The successful candidate will be part of a global infrastructure team with a diverse range of responsibilities for data quality and process integrity, which encompasses extensive interaction with several stakeholders.

- Responsibilities Develop a profound understanding of the VaR model to help with impact analysis of market data changes

- Perform market data quality reviews and analysis

- Identify erroneous market data and appropriate sources for providing the correct data

- Design and implement appropriate data quality metrics to effectively monitor & resolve market data issues 

- Help improve the statistical tools used for data quality analysis, participate in the IT development of new tools Work with the team on improving processes and governance

- Collaborate with key stakeholders and partners distributed in different regions and teams

- Work on regulatory and internal audit findings to remediate gaps in reporting/data issues

- Provide functional supervision for a small team of analysts

Skills Desired:

- Strong quantitative background, ideally at least Masters level in a quantitative discipline

- Strong interest in financial markets, financial products 

- 3-5 years experience in a bank, ideally in a quantitative or modelling role. Management experience is a plus.

- Ability to build good working relationships across a number of different areas and regions, attention to detail Coding experience in Python or a similar language

- Strong written and verbal communication skills (in English)