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Provide premium service to assigned Asset Owners accounts (Pension funds, endowments, etc.)
Answer detailed client inquiries about SSGX Analytics products and methodology. These queries may be related to Market Risk (VaR, Stress testing, Back testing, Risk Attribution etc.), Liquidity Risk, Credit Risk,
Validate, prepare and present results to client Senior management
Prepare analytics dashboard to client C-suite executives and Boards
Participate in developing client relationships through proactive follow up on issues raised
Maintain relationships by ensuring relevant product and model information is shared with clients
Lead regular calls with important accounts to cover outstanding issues and giving updates
Contribute to producing service reviews and service plans that support client renewal initiatives
Execute onboarding and training of Clients
Provide 100% ownership (to resolution) of support issues from important accounts within assigned segment
Work towards becoming a subject matter expert on Quantitative Risk analytics products and services
Championing process changes to improve Client Experience and Efficiency
Desired experience and qualifications
Excellent English written and oral communication skills;
Problem solving skills; Technology proficient: Numerical analysis using Microsoft Excel / VBA Macros is a must
Must be familiar with Market Risk concepts, such as Value-at-Risk, Tracking Error, and derivatives risk, sensitivities.
Ability to use statistical concepts such as regression analysis tools
Client facing skills an ability to quickly gain the clients trust
Client Orientated demonstrate ownership for the clients issue, be seen as the Clients champion within State Street
Execution well organized, ask questions, raise potential problems early
A self-starter and highly motivated, ability to work individually and within a team
Ability to work in a fast paced environment with constant interruptions
Candidate must be able to keep track of multiple issues without leaving issues unresolved
1-3 years of work experience
Relevant experience is a plus
A numerate Bachelors degree in Finance, Engineering, Mathematics, Statistics, Economics, or related field