Position: staff/senior
the opportunity:
work as staff/senior on multiple workstreams for middle and back-office functions for an asset management client.
responsibilities
* the key responsibilities include, but are not limited to:
* collaborate with account management and portfolio management teams to implement client directives regarding benchmark changes
* process monthly and ad hoc benchmark rebalances
* provide oversight and conduct validations of index risk measures, prices, and security-level compositions
* partner with technology to identify opportunities to improve operational efficiencies and automation in index data
* management processes
* research and create detailed documentation for new and existing data sources, working with technology and vendors to standardize data
* develop scripts to create custom security-based models for use as benchmarks
* perform analysis and construct benchmarks, applying business rules to derive composites and sub-indices, and adding
* currency hedges, if necessary
* develop algorithms to identify, record, and correct index data quality issues
* understand key market drivers that impact index pricing, risks measures, and security level compositions
* provide oversight of index vendor relationships
* respond to inquiries from various teams and desks using index data
qualifications
* minimum of a bachelor's degree required, preferably in finance, math, statistics, computer science, economics,
* engineering or another quantitative background. A master’s degree and/or cfa preferred
* minimum 5 years of experience, which ideally includes index data management and oversight, building and maintaining benchmarks and indices; validation of index risk measures, prices, and security-level compositions; performing end-of-day pricing and stock split processes; processing monthly index rebalances, and addressing performance-related queries.
• previous experience effectively interfacing with portfolio managers, account managers, and other internal colleagues related to index data is preferred.
• prior vendor management oversight experience highly desirable
• hands-on experience with performance attribution and risk modeling
• knowledge of quantitative fixed income mathematics and a strong understanding of portfolio/risk management
fundamentals
• intermediate-to-advanced sql and/or programming language