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FactSet

FactSet

www.factset.com

5 Jobs

13,942 Employees

About the Company

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

For 40 years, through market changes and technological progress, our focus has always been to provide exceptional client service. From more than 60 offices in 23 countries, we’re all working together toward the goal of creating value for our clients, and we’re proud that 95% of asset managers who use FactSet continue to use FactSet, year after year.

As big as we grow, as far as we reach, and as successful as we become, we stay connected to our clients and to each other.

Listed Jobs

Company background Company brand
Company Name
FactSet
Job Title
Senior Software Engineer (Backend)
Job Description
London, United kingdom
On site
Senior
23-09-2025
Company background Company brand
Company Name
FactSet
Job Title
Responsible AI Data Scientist
Job Description
**Job Title:** Responsible AI Data Scientist **Role Summary:** Drive Responsible AI (RAI) strategy by integrating data science, statistical evaluation, and risk management across product development. Focus on embedding ethical AI principles into processes and tools. **Expectations:** - Evaluate AI/ML model risks and biases. - Develop risk-reduction tools and frameworks. - Collaborate with cross-functional teams to embed RAI principles. - Support stakeholder alignment with RAI standards and regulations. **Key Responsibilities:** 1. Conduct risk assessments for AI/ML models to identify deficiencies and biases. 2. Design experiments and build tools for model explainability, bias detection, and risk mitigation. 3. Partner with engineering teams to automate RAI monitoring and reporting. 4. Advise product teams on implementing corrective actions and RAI compliance. 5. Develop processes for RAI intake and risk assessment as a product capability. 6. Provide training and guidance on RAI best practices. **Required Skills:** - Data science proficiency with Python. - Experience in AI/ML (including LLMs). - Statistical analysis and model evaluation. - Risk assessment framework design. - Stakeholder management across technical and non-technical teams. - Knowledge of AI regulations (e.g., data privacy laws). **Required Education & Certifications:** - Bachelor’s or advanced degree in Data Science, Computer Science, or related field. - Proven experience in data science or AI/ML projects. This summary is concise, ATS-optimized, and globally neutral, omitting company-specific details.
London, United kingdom
On site
27-09-2025
Company background Company brand
Company Name
FactSet
Job Title
Sales Enablement Operations Manager
Job Description
London, United kingdom
On site
Senior
26-09-2025
Company background Company brand
Company Name
FactSet
Job Title
Lead Site Reliability Engineer - (DevOps, AWS Focus, PostgreSQL, CI/CD Systems) - Hybrid
Job Description
**Job Title:** Lead Site Reliability Engineer **Role Summary:** Lead the architecture and continuous improvement of cloud infrastructure and database systems to ensure scalability, reliability, and security for mission-critical applications. **Expectations:** - Architect and optimize AWS/EKS-based infrastructure with PostgreSQL databases for high availability and performance. - Implement CI/CD pipelines, GitOps workflows, and Kubernetes cluster management to streamline deployment and scalability. - Establish monitoring, logging, and incident resolution practices aligned with security and compliance standards (SOC2, GDPR). - Mentor engineering teams on DevOps/SRE methodologies and foster cross-functional collaboration. **Key Responsibilities:** - Design, deploy, and manage scalable, secure cloud environments on AWS (EKS, EC2, S3, RDS, IAM). - Oversee PostgreSQL database tuning, backup, disaster recovery, and observability. - Develop and maintain Terraform workflows for infrastructure-as-code with CI/CD integration. - Build and scale CI/CD pipelines using GitLab CI, GitHub Actions, or equivalent tools. - Implement GitOps practices (Argo CD, Flux) to automate deployment workflows. - Deploy and manage production-grade Kubernetes clusters with robust security and scaling policies. - Establish monitoring solutions (DataDog, Prometheus, Grafana) for system observability. - Apply security best practices and ensure compliance with regulatory requirements. **Required Skills:** - 10+ years in SRE, DevOps, or cloud-native roles. - Expertise in AWS services (EC2, EKS, S3, RDS, IAM). - Advanced PostgreSQL administration (tuning, backup, HA). - Proficiency in Terraform (modular design, CI/CD integration). - Experience with CI/CD tools (GitLab CI, GitHub Actions). - Hands-on GitOps workflow execution (Argo CD, Flux). - Strong Kubernetes knowledge (deployment, networking, security). - Familiarity with monitoring/logging stacks (Prometheus, Grafana, ELK). - Strategic infrastructure roadmap design and communication. - Strong written/verbal communication and team mentoring skills. **Required Education & Certifications:** - Bachelor’s degree in computer science or related field. - Preferred certifications: AWS Solutions Architect, Kubernetes, Terraform. - Relevant experience in fintech/SaaS or high-compliance industries.
Toronto, Canada
On site
Senior
01-10-2025