Financial Data Analyst (Reference Data/Financial Instruments)
SimCorp (company site, opens in a new tab)5–7 yrsNoidaOn-siteDirect career pageEst. 12–20 LPA
Posted 10h ago
Reach people at SimCorp
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at SimCorp you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Ensure timely and accurate delivery of pricing, security master, index, and ESG data for clients to support reliable portfolio valuations and reporting.
- Validate data against sources and market movements, maintain client-specific assets, and apply corporate actions within agreed SLAs.
- Collaborate with cross-functional teams, support client UAT, drive process automation, and mentor junior analysts to uphold data quality and operational excellence.
Minimum Requirements
- 5-7 years experience in financial data operations, pricing, security master, or reference data management, preferably in asset management or similar environment.
- Strong knowledge of fixed income, equity, corporate actions; working knowledge of derivatives required; advanced derivatives exposure advantageous.
- Advanced proficiency in Excel; experience with market data platforms (Bloomberg, Refinitiv, Six, ICE) valued; automation/scripting skills (Python, VBA, RPA) advantageous.
- Must be willing to work APAC shifts (5 AM – 2 PM IST) and hybrid work arrangement (2 days onsite per week).
Ideal Candidate Profile
- Experienced Financial Data Analyst skilled in managing pricing and reference data across multiple asset classes in a regulated financial environment.
- Detail-oriented professional with strong control and validation mindset focused on maintaining high data quality and process compliance.
- Collaborative operator comfortable working cross-functionally and across time zones, with accountability for data delivery and mentoring junior team members.