FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.  

At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.  

About FactSet:

FactSet is a global leader in providing cutting-edge research and analytical tools to finance professionals. We offer instant access to accurate and comprehensive financial data and analytics worldwide. FactSet clients integrate hundreds of databases from industry-leading suppliers into a single, powerful information system.

About Enterprise Analytics:

The Enterprise Analytics group at FactSet focuses on internal information to support product development and internal sales teams. Our work spans a diverse array of projects and teams, reflecting our broad scope and impact. We analyze user engagement patterns to identify trends and at-risk users, and recommend product bundling strategies. Our team processes and examines internal documents to uncover opportunities, and we are at the forefront of developing tools to work with data from LLM-powered tools. We collaborate closely with our stakeholders over extended periods, helping the business make informed, impactful decisions. Throughout these processes, we leverage both traditional and state-of-the-art machine learning and data analytics techniques, ensuring we remain at the cutting edge of the industry.

Job Responsibilities:

Manage and conduct data analysis and machine learning methodologies independently. This could involve running experiments, creating models, and interpreting results.

Access data from various sources and prepare it for analysis. Handle cleaning of complex datasets by identifying, addressing, and resolving issues related to quality and integrity.

Create and manage git repositories efficiently. Write clean, efficient, and reusable code adhering to best practices. Proficiency in unit testing, code profiling and cloud computing.

Work collaboratively with the data science team and other stakeholders. Communicate effectively about complex tasks, projects and insights generated from data. Present findings in a comprehensible manner to both technical and non-technical audiences.

Technology Learning Opportunities:
FactSet is committed to invest into Career development of all the Engineers to upskill, or re-skill based on individual interests, Project priorities and offers:

Licenses for learning resources like Pluralsight

Reimbursement of Technology Certification Fees (Azure, AWS or relevant Technologies)

Paid Leave for Certification Exam preparation (In addition to Casual Leaves and Privilege Leaves)

Vibrant Technology Communities that organize Internal programs, technology symposiums, Guest lectures by internal and external experts.

Requirements:

We are seeking a results-oriented person with at least three years of experience full-time Industry work in

Understanding of machine learning techniques and data processing

Proficiency in relevant programming languages (e.g. Python)

Ability to effectively manage git repositories and experience with cloud computing platforms

Expertise in accessing, cleaning, processing, and handling complex data for analysis

Excellent problem-solving skills and ability to design and execute advanced experiments testing hypotheses

Strong communication skills for effectively presenting findings to stakeholders and closely collaborating with team members

Experience with unit testing, code profiling, and object-oriented programming

Ability to work on multiple projects simultaneously and adapt to dynamic work environments

Experience with Big Data platforms like Hadoop or Spark and knowledge of SQL is a plus.

Proficiency with statistical programming and data visualization tools is highly desirable

Continual learning attitude, with a focus on enhancing both technical and soft skills

Company Overview: 

FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn.