Full-Time

Junior Machine Learning Engineer

Hybrid, Neo4J, NLP, Chatbot, Cloud

Posted on 11/22/2024

FactSet

FactSet

10,001+ employees

Provides financial data and analytics solutions

Data & Analytics
Financial Services

Junior, Mid

London, UK

Hybrid position.

Category
Conversational AI & Chatbots
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python
NoSQL
SQL
Docker
AWS
MongoDB
Natural Language Processing (NLP)
Requirements
  • 2+ years of profound software engineering experience, significantly focused on AI/ML solutions in production environments.
  • Demonstrated expertise in cloud architecture (primarily AWS) and familiarity with a broad range of services.
  • Solid understanding of Natural Language Processing/Machine Learning/Deep Learning fundamentals and their real-world applications, evidenced by a successful history of model development and deployment.
  • Proficient in Python, with strong skills in Docker and API development.
  • Excellent communication abilities, capable of engaging both technical and business audiences alike, and leading cross-functional projects.
  • Knowledge of major database architectures including MongoDB, SQL, NoSQL, and Vector databases.
  • An MS degree in Machine Learning, Computer Science, or a related field is preferred.
Responsibilities
  • Architect and design groundbreaking machine learning techniques tailored to financial tasks within Knowledge Graphs, creating innovative solutions that extend beyond traditional applications.
  • Enhance and scale our AWS-based infrastructure to ensure the efficient, reliable delivery of ML and AI solutions, including the integration of LLM.
  • Work closely with data scientists and ML engineers to integrate and manage diverse ML and NLP models within production environments effectively. Offer expert advice on model selection and deployment strategies.
  • Manage the entire software development lifecycle, from the initial design and coding through to testing and the deployment of financial AI applications.
  • Construct and maintain robust data pipelines capable of processing complex structured and unstructured financial data, guaranteeing the highest quality inputs for our models.
  • Act as a mentor to team members, promoting a culture of innovation and continuous learning within the team.

FactSet provides financial data and software solutions to investment professionals around the world. Its products include market data, fixed income data, and research management tools that assist clients in making informed investment decisions. These tools deliver real-time and historical data, along with advanced analytics, allowing users to gain insights into stock performance, earnings reports, and market trends. FactSet operates on a subscription-based model, where clients pay for access to customizable data and analytics platforms tailored to their specific needs. The company distinguishes itself from competitors through its strong commitment to client service and continuous updates to its platforms, ensuring they incorporate the latest financial data and analytical techniques. The goal of FactSet is to empower investment professionals with the essential tools and information they need to enhance their decision-making processes.

Company Stage

Acquired

Total Funding

$121.6K

Headquarters

Norwalk, Connecticut

Founded

N/A

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • The acquisition of Irwin and partnership with CapIntel expand FactSet's product suite, potentially increasing market share and client engagement.
  • FactSet's new DaaS solution could attract a broader client base by offering flexible data management options, enhancing revenue streams.
  • Recent investments from firms like Virtu Financial and XTX Topco indicate strong market confidence in FactSet's growth potential.

What critics are saying

  • The integration of Irwin's software and services may present challenges in aligning with FactSet's existing systems and culture.
  • The competitive landscape in financial data services is intense, with major players potentially eroding FactSet's market position.

What makes FactSet unique

  • FactSet's acquisition of Irwin enhances its investor relations capabilities, setting it apart from competitors by integrating capital markets software into its offerings.
  • The launch of Data as a Service (DaaS) positions FactSet as a pioneer in providing comprehensive data management solutions, a step beyond traditional financial data services.
  • FactSet's commitment to innovation and client service, as evidenced by strategic partnerships and continuous platform updates, solidifies its reputation as an industry leader.

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