Credit Risk Management Clearinghouse Market Risk A job in New York City, NY| Recruit Arrow
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Title
Credit Risk Management Clearinghouse Market Risk A
Location : New York, New York City
Refer job # QHBJ340451
 
Job Responsibilities and Requirements: This teams responsibilities will include creating a markets related risk framework to actively monitor contingent risk and position concentrations, providing trend and liquidity analyses, assessment and limits to risk appetite, ad-hoc stress analyses and risk strategies to mitigate exposures to CCP s during a potential crisis event. Job Responsibilities Assist a team in building a risk framework and infrastructure to govern granular level risk data facing CCP platforms. This will require light programming involved with managing a data hub to optimize the process Creating reports which will need mapping to data feeds through various systems across businesses and risk dimensions (LOB, Region, Product, CCP Segment, etc.) and various risk measures (greeks, stress, CSW, etc.) Running proxy stress results using standard FSI shocks & ad hoc scenarios to explain CCP monthly impacts Monitor volume and flows to track unusual trends, raise concerns and initiate management discussions Develop an independent view on risk appetite to CCPs through continued analyses of concentrations, gap, illiquidity associated with CCPs and ability to escalate accordingly to senior managers Partner with Trading, Risk & Product Controllers to discuss exposure strategies and macro business decisions Provide deep dives and analyses on relevant headlines, market trends or flows impacting CCPs Qualifications Basic understanding of Market Risk statistical & non-statistical risk measures (ie VaR, Stress, IR DV01, Vega, etc) Good working knowledge of Capital markets and trading products across asset classes Strong Math or Statistics background Accountable self-motivator and ability to work independently Strong verbal communication, written and interpersonal skills Strong Excel skills including VBA Programming in R, Python, SQL a plus.
 
 
 
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