Job Description

Location : Hyderabad

About Factset

FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant anytime, anywhere access to financial data and analytics that investors use to make crucial decisions

Founded in 1978 and for over 40 years, through market changes and technological progress, our focus has always been to provide exceptional client service. From more than 37 offices in 20 countries, employing more than 10,000 people, FactSet has over ~$2.09 Billion in annual revenues and is headquartered in Norwalk, Connecticut, we’re all working together toward the goal of creating value for our clients, and we’re proud that 90% of clients who use FactSet continue to use it, year after year. FactSet is a leading global provider of financial data, analytics, and models

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

Buy Side Engineering is responsible for FactSet’s industry leading Portfolio, Risk, Quantitative, and Fixed Income products. These products are used by thousands of Asset Managers around the world every day to assist with investment decisions, analysis of performance, risk management, and the presentation of results. Analytical Product Engineering’s product space represents a high growth opportunity for FactSet.

SUB-PROCESS BRIEF

As a member of the Fixed Income Analytics team, you will be working on various aspects of our analytics engine. This engine is responsible for the generation of mathematical results focusing on numerous available asset types include Bonds, Mortgages, Derivatives, etc. The original emphasis for this role will be to work on feature enhancements and improving the handling of different asset types through incorporation of additional terms and conditions data as well as improvements to mathematical algorithms. Working on this project will provide insight into the architecture of the engine. Engineers working in this group maintain strong relationships with peer engineers but also need to work very closely with Product Development and stakeholders. There are plenty of opportunities to learn strong programming best practices along with learning Fixed Income financial fundamentals.
RESPONSIBILITIES:

• Develop new and enhance existing features for projects owned by Calc Engine Team.
• Work with Product Development and stakeholders to ensure the highest quality analytics.
• Translate work requirements into testable and maintainable code ensuring that all success criteria have been satisfied.
• Work with Fixed Income Product Development to understand project requirements and work with other Analytics Engineers on the technical design of those solutions.
• Apply best practices to their own work and propagate this information within the team.

REQUIRED SKILLS:
 

• 5-7 years of development experience in C++, especially in OOPs and Data Structures.
• Relational Database experience
• Python experience/familiarity a plus
• Ability to articulate and quickly adopt development best practices.
• Excellent organizational and communication skills
• Willingness to work as a member of a team, including participating in peer code reviews, maintaining project and operational documentation.
• Ability to set own goals based on shifting priorities for self.
• Ability to work as part of a geographically diverse team.
• Ability to create, review documentation and test plans.
• Ability to communicate with both technical and non-technical people.
• B.Tech or M.Tech in Computer Science or equivalent