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JOB PURPOSE (JOB SUMMARY) : Facilitate Portfolio Risk measurement, quantitative analysis and reporting to drive transparency across the organization and support Risk team's mission of helping Invesco better understand investment risk.
KEY RESPONSIBILITIES / DUTIES :
Risk: Provide comprehensive and high quality portfolio risk measurement, quantitative analysis and reporting: Value-at-Risk, Stress-Testing, Liquidity & Counter party risk.
Project management: Be able to independently execute risk related projects in coordination with various cross teams.
Monitoring: Design dashboards and monitor limits for Multi asset class suite of portfolios.
Data management: Help building a strong, integrated risk management infrastructure by gathering/mapping/modelling data and resolving data errors.
Process effeciency: Improve efficiency and effectiveness of global operating processes by designing custom computer programs/macros/queries.
Support senior team members in research/quantitative/qualitative analysis of portfolios.
2-5 yrs experice in Risk analytics domain.
Hands on knowledge of SQLdatabase queries, advanced excel functions and VBA.
Working knowledge of atleast 1 programming languages Python or R is an advantage but not mandatory.
Knowledge of systems such as MSCI RiskMetrics, Barra, Bloomberg etc would be a great plus.
Sound understanding of risk measurement techniques such as VaR, Snesitivities, Stress testing and Tracking Error etc.
Expert understanding of various financial instruments and its pricing methodology. Equity, bonds and derivatives.
Sound knowledge of econometrics and factor models
Bachelors/Masters in quantitative subject such as Finance, Statistics, Financial Engineering, Computer Science.
CFA, FRM candidates or MBA (Finance) is desirable but not mandatory.
Effectively operate in a team-oriented and collaborative environment
Good time management, able to work under pressure
Excellent Problem solving capability
Excellent verbal and written communication skills.
Ability to conduct complex analysis and present data in a meaningful way.
Strong organizational skills and detail orientation.
Open minded, flexible, and willing to listen for other people's opinions.
Interpersonal skills necessary to effectively communicate over the phone with a variety of individuals at all technical levels are required.