Job Description
eClerx Services Ltd. is hiring for financial analyst for its Reference Data Operations for Pune location. Below are the details :
Job Location : Pune ( Hinjewadi)
Shift timings : Rotational ( 24X7)
Job Details:
- Minimum 3 Years of experience in providing support for reference data operations
- Working experience of supporting reference data management operations for Equity, Fixed Income, Futures and Options
- Good understanding of capital markets and events
- Experience of working with products such as Eikon, DSE from Thomson Reuters and Bloomberg Terminal
- Experience of working with any reference data management system such Asset Control, GoldenSource or PolarLake would be highly preferred
- Experience of working with tools such as service now, remedy for ticket management
- Experience of working with JIRA for change projects
- In scope functions include resolution of data exceptions, user queries, user requests, vendor data notifications, root cause investigation of data issues and taking corrective/preventive measures
- Willingness to continuously learn, upgrade skills and stay relevant to business demands
- Ability to work with teams across time-zones
Good to have
1. SQL Knowledge (added Advantage)
2. MBA Finance (added Advantage)
If interested, share your CV at na*******d@ec***x.com with below details:
Current Salary:
Expected Salary:
Notice Period
Perks and Benefits
Basis on interview / experience
Job Classification
Industry: KPO, Research, Analytics
Functional Area: Financial Services, Banking, Investments, Insurance,
Role Category: Financial Services/Stock Broking
Role: Financial Services/Stock Broking
Employement Type: Full time
Education
Under Graduation: Any Graduate in Any Specialization, Graduation Not Required
Post Graduation: Post Graduation Not Required, Any Postgraduate in Any Specialization
Doctorate: Any Doctorate in Any Specialization, Doctorate Not Required
Contact Details:
Company: eClerx Services Ltd.
Location(s): Pune
Keyskills:
global reference data
Reference Data
Data Management
Data Operations
SQL