The primary function of this position is to perform various tasks related to the production & distribution of Portfolio & Benchmark performance, risk statistics, characteristics, & reporting. The individual will work under minimal supervision. Candidate will be a key resource in process improvement & building strong relationships with client and offshore teams, internal product, and engineering teams. Serves as a first level escalation point for client inquiries regarding the nature of investment products and their portfolios along with inquiries related risk numbers.
Name of the
Organization: FactSet
Requisition
ID: R24628
Positions: Specialist,
MS Ops
Location: Hyderabad
Salary: As per
company Norms
Required Skills
& Qualifications:
- Bachelor's Degree + MBA (Finance) with 1-3 years of experience in the financial services industry. Working towards CFA/FRM certification will be an added advantage.
- Strong understanding of equities, fixed income, and derivatives products.
- Articulate communicator, with excellent language skills – both oral and written.
- Exceptional analytical and problem-solving ability.
Job Description:
The
role requires growing expertise in the fixed income risk domain including a
solid understanding of portfolio and security level risk modeling techniques,
the sources of tracking error, and how the data quality of model inputs
(example terms and conditions, pricing) can impact the quality of the analytics
and risk model results.
Responsibilities:
- Conduct independent research to resolve issues in quantitative and qualitative scope for the major asset classes on different markets (exchange-traded or OTC).
- Understanding and applying knowledge of different asset classes valuation, pricing, and terms and conditions regularly. Also, understand the modeling of private assets or OTC instruments.
- Prepare performance analysis reports for institutional clients and investment managers globally across multiple asset classes.
- Perform analysis of the portfolios to explain the portfolios’ return attribution and characteristics.
- Deep dive into portfolio analytics for client portfolios, run stress testing, custom scenario analysis, calculate VaR at security and portfolio level, etc.
- Perform ad hoc analysis when given specific requirements and market conditions. Respond to basic, specific requests for risk statistics information.
- Respond to requests for data quality from internal stakeholders or clients.
- Understand and monitor critical client workflows, ensuring the clients daily deliverables are met.
- Basic working knowledge of Python and SQL.
- Team player who must show the willingness to work with global teams across time zones.
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