Financial Data Analyst (APAC Shifts)

Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp!

At its foundation, SimCorp is guided by our values — Caring, Customer success-driven, Collaborative, Curious, and Courageous. Our people-centered organization focuses on skills development, relationship building, and client success. SimCorp clients value their portfolios daily based on the data we deliver. Accurate and timely pricing underpins reliable portfolio valuations, performance measurement, and client reporting, and well-maintained security master and corporate action data provide a solid foundation for every downstream process.

As a Senior Financial Data Analyst in Data Management Operations, you will be accountable for the quality and timely delivery of the pricing, security master, index, and ESG data on which our clients depend. You will operate within defined service level agreements (SLAs), apply your knowledge of fixed income, equity, and corporate actions, work closely with cross-functional teams, and contribute to client UAT, quality controls, and process automation, strengthening client confidence in the data we provide.

Validating prices against source data, defined tolerances, and market movements, and completing reviews ahead of delivery deadlines

Creating and maintaining security master (reference) data across all asset classes, ensuring completeness, consistency, and accuracy

Applying corporate action events (such as dividends, splits, mergers, and coupon or redemption events) to security master and pricing data, ensuring accurate and timely reflection in client portfolios

Setting up and maintaining client-specific assets in accordance with agreed SLAs

Maintaining index and ESG data, ensuring it remains current, complete, and accurate

Performing four-eye checks on data deliveries and set-ups to uphold the highest standards of data quality and control

Working with different cross-functional teams, including business, support, IT, Change, and data vendors,



to address queries and ensure data consistency

Participating in User Acceptance Testing (UAT) for clients, supporting successful onboarding and the validation of new or changed data requirements

Monitoring daily data workflows and SLA performance, and proactively communicating status to stakeholders

Performing reconciliations and reporting on data quality and SLA performance, providing clear insights to the team and senior leadership

Adhering to data governance standards and keeping abreast of regulatory and industry developments

Mentoring junior analysts and promoting best practices in pricing and reference data management

Experience: Typically, 5-7 years of experience in financial data operations, pricing, security master, or reference data management, preferably within asset management, pricing or a data vendor environment or similar role

Thorough knowledge and experience of fixed income, equity, and corporate actions, with working knowledge of derivatives; Data expertise: Hands-on experience with pricing and valuation data, security master set-up, and index or ESG data

A rigorous and methodical approach to data quality, validation, and four-eye review

Strong planning and prioritization skills, with a commitment to meeting daily delivery schedules

Advanced proficiency in Excel; SQL and experience with market data vendor platforms such as Bloomberg, Refinitiv, Six or ICE are valued, exposure to automation tools or scripting (for example Python, VBA, or RPA) is an advantage

Testing and documentation: Experience supporting UAT and preparing clear, well-structured SOPs

A structured approach to root cause analysis and the implementation of sustainable solutions

Accountability for data quality, a commitment to mentoring others,



and a willingness to continuously develop knowledge as markets and data standards evolve

Hybrid working arrangement (2x/week) & willing to work in APAC & rotational shifts (5 AM – 2 PM IST)

Global hybrid work policy - We ask you to work 2 days a week from the office. If you choose you can work remotely the other days. Of course, you are welcome at the office if that is your preference.

Culture – Inclusive and diverse company culture.

Work-life balance – We believe that an equilibrium between professional responsibilities makes us all the best version of ourselves, both in private life and as colleagues in the workplace.

Career & Growth – Simcorp does offer opportunities for professional development: there is never just only one route - we offer an individual approach to professional development to support the direction you want to take.

Please send us your application in English via our career site as soon as possible, we process incoming applications continually. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photos, age, or any non-professional information from your application. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. We are eager to continually improve our talent acquisition process and make everyone's experience positive and valuable. For over 50 years, we have worked closely with investment and asset managers to become the world's leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, education, professional experiences, ages, and backgrounds.

Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients.

SimCorp is an equal opportunity employer and welcome applicants from all backgrounds, without regard to race, gender, age, disability, or any other protected status under applicable law. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work.

📌 Financial Data Analyst with SQL and Python (Noida)
🏢 Simcorp
📍 Noida