Associate Specialist, MS Ops
India, Hyderabad, DVS, SEZ-1 – Orion B4; FL 7,8,9,11 (Hyderabad - Divyasree 3)
FactSet
FactSet provides best-in-class financial data, global market insights and analytics, trusted by industry leaders to keep you ahead in finance.ABOUT FACTSET: FactSet is a leader in providing research and analytical tools to finance professionals. FactSet offers instant access to accurate financial data and analytics around the world. FactSet clients combine hundreds of databases from industry-leading suppliers into a single powerful information system.
VALUES THAT DEFINE OUR CULTURE
We are unified by the spirit of going above and beyond for our clients and each other. We look to foster a globally inclusive culture, enabling our people to be themselves at work and to join in, be heard, contribute, and grow. We continually seek to expand our workforce with diverse perspectives, backgrounds, and experiences. We recognize that our best ideas can come from anyone, anywhere, at any time and help us provide the best solutions for our clients around the globe. Our inclusive work environment maximizes our diversity values, engagement, productivity, and ultimately makes FactSet a fun place to work.
PROCESS BRIEF
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.
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.
JOB RESPONSIBILITIES & ELIGIBILITY CRITERIA
- Have a Master’s/Bachelor's degree or equivalent in Finance, Engineering, or similar fields.
- The candidate should have knowledge of all investment product types, including those used for fixed income mandates (e.g., structured products and credit derivatives).
- Minimum 1 - 3 years of experience Required.
- Basic understanding of concepts like VaR, Stress Testing, Back Testing etc.
- Understanding of portfolio performance calculations and performance reports associated with accounts and composites.
- Analytically inclined, with knowledge of programming (example Python) being an added advantage.
- Ability to perform financial/mathematical calculations (or analysis) using MS Excel or other relevant tools.
- Knowledge of financial instruments, markets & analytical understanding.
- Ability to work under pressure, perform multiple tasks in a fast-paced, team environment, organize & prioritize workflow.
- Flexible to work in rotational shift including US shift hours.
Ready to work in a hybrid model.
Company Culture and Benefits: At our organization, we foster a collaborative and inclusive culture that encourages growth and innovation. We offer competitive benefits and provide ample opportunities for professional development, paving the way for exciting career advancement within the Financial-Technology industry.
Diversity At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for
employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data quality Engineering Excel Finance Python Research Security Statistics Testing
Perks/benefits: Career development Flex hours
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