Software Engineer, Factset

Python, Cloud Architecture, Databricks

Salary not provided

+ ESPP

SQL

AWS

TypeScript

Python

Node.js

Senior and Expert level

London

Business data & analytics for finance

Open for applications

Business data & analytics for finance

1001+ employees

B2BInvestingAnalyticsFinancial Services

Open for applications

Salary not provided

+ ESPP

SQL

AWS

TypeScript

Python

Node.js

Senior and Expert level

London

1001+ employees

B2BInvestingAnalyticsFinancial Services

Company mission

To provide access to connected financial data, next-gen AI tools, and dedicated support to help clients see more, think bigger, and do their best work.

Job

Company

Role

Who you are

5+ years of software engineering experience, partially focused on LLM/AI solutions
Experience with python notebooks in Databricks (or similar tech stack) is essential
Strong hands-on experience with LLM SaaS providers (OpenAI, Claude, Gemini)
Demonstrated expertise and managed services within cloud architecture (primarily AWS)
Proficient in Python/Typescript/Nodejs, with strong skills in API development
Knowledge of major database architectures including SQL, NoSQL, and Vector databases
Experience with Knowledge Graphs and architecting LLM-powered solutions
ML Solutions experience is preferred
Bachelors degree in computer science or relevant

Desirable

Excellent communication skills, capable of engaging both technical and business audiences alike, and leading cross-functional projects
An interest in mentoring junior team members

What the job involves

FactSet’s AI & Automation team works to improve productivity of all employees using advanced AI and automation tools, enabling us to focus on higher value work. You will play a significant role in implementing solutions that benefit your colleagues
Develop groundbreaking agentic workflows tailored to task automation within inhouse, and 3rd party licensed software service eco-systems
Implement agents within frameworks to automate various repetitive manual tasks and summarize data out of corporate tools in concise human readable form
Design insight generation techniques that summarize key highlights from large complex datasets and support natural language prompts for deep-dive analysis
Construct and maintain robust data pipelines capable of processing complex structured and unstructured quantitative and textual data, ensuring high quality inputs for our models
Work closely with data scientists and ML engineers to integrate and manage diverse ML and NLP models within production environments effectively

Salary benchmarks

Our take

FactSet is an S&P 500 company creating flexible, open data solutions for investment professionals around the globe. The company was founded at the end of the 1970s, when the prominence of computers spurred the founders to find a way to deliver computer-based financial information. In doing so, FactSet revolutionized the delivery of this data to clients, which had previously been by messenger and on paper.

Investors use FactSet to access instant financial data and analytics that educate their investment decisions. In 2022, FactSet for CRM launched on the Salesforce AppExchange; reaching users looking to get a complete, reliable view of current and prospective customers. As it has grown, the company has continuously responded to changes in the market, and innovated its operations.

As part of the company’s efforts to help clients modernize and improve their market data technology, FactSet partnered with data and analytics company BMLL to offer order book history and analytics in the cloud. The company has also made steps into the cryptocurrency space by collaborating with Coin Metrics, integrating Coin Metrics’ digital assets data into its solutions, whilst embarking on a series of strategic fintech acquisitions over 2023 and 24.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

11% employee growth in 12 months

Glassdoor (4)

Company

Funding (1 round)

May 2003

$0.2m

SEED

Total funding: $0.2m

Company HQ

Norwalk, CT

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