Senior Analyst/Associate - Investment Systems Engineer

About Future Standard

Future Standard (formerly FS Investments) is an alternative asset manager dedicated to delivering attractive returns across private equity, private credit and real estate. Following its 2023 acquisition of Portfolio Advisors, FS now manages over $86 billion for both institutional and wealth management clients around the world, drawing on 30 years of experience and operating across nine global offices. The firm's investment professionals manage a wide range of differentiated strategies across private markets and collectively manage relationships with 300+ sponsors. Future Standard's active partnership model creates a virtuous cycle of superior market insights and deal flow, which inform the underwriting process and help to generate strong returns.

FS India Journey

Future Standard India (FSINV Global Services Private Limited) established its Global Capability Centre (GCC) in Bengaluru, India in January 2025. This strategic initiative marks a significant milestone in the company's global footprint, with the centre serving as a hub for cutting-edge technology innovation and digital transformation. Located in the heart of India's tech capital, the Bengaluru GCC is focused on developing best in class talent and delivering high-impact solutions across engineering, data science, AI/ML and digital product development. With a strong commitment to building a collaborative and agile work environment, FS India aims to harness local expertise to drive global innovation and long-term value.

URL: https://futurestandard.com/

About the Job

We are looking for an engineer who is strong in – or has worked extensively with – investment management applications such as Advent Geneva, Enterprise Data Management (EDM), Order Management Systems (OMS. The ideal candidate has a solid understanding of how these investment systems operate and integrate with one another, along with great familiarity with financial instruments and accounting principles. Advent Geneva experience is particularly important. The candidate must have excellent RSL development skills, strong verbal/written communication skills, and be a cultural fit with an emphasis on teamwork, excellence, and results. Prior working experience integrating Geneva with other systems – e.g. Order Management System, Reference/Security Master, Pricing System etc. – is highly valued.

What you will be doing

• Designing and developing Geneva RSL custom reports.
• Geneva system and application administration
• Working closely with Geneva users and addressing accounting data issues reported by them.
• Collaborate with other full-stack developers build APIs around Geneva for data load and extraction.
• Help implementing Geneva upgrades and patch releases.
• Integrating Geneva and data warehouses with Security Master, Order Management Systems (OMS), and risk platforms and other external platforms.
• Working with data center vendors for system administration and hardware upgrades
• Requirements analysis, application design and implementation.
• Working with Advent to troubleshoot and request enhancements
• Working with the product development using Geneva, EDM, AllVue and BBG.

Qualifications & Experience

• Bachelor's degree in Engineering, Finance, Computer Science, or related field
• 3-8 years of experience in data analysis, operations analytics, reporting, or data quality roles
• Experience working with any general programming languages (python, c# etc.).
• Knowledge of databases and experience working with relational databases like SQLServer, PostgreSQL, or Oracle.
• Financial Industry experience engaged in Private Equity/Credit type of business domain.
• Experience in version control systems such as Git and collaborative development workflows.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Additional Beneficial Skills/Knowledge

• Knowledge of Private Credit/Equity Funds.
• Experience in one or more of bank loans/leveraged loans, fixed-income products, CLOs,derivatives, ABS (Asset Backed Securities) and CMBS (Commercial Mortgage-BackedSecurities) products.
• Understanding of Data Engineering tools and platforms (data pipelines, data lake)
• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, and knowledge of containerization technologies like Docker or Kubernetes.