Haystack
Linkedin · Posted yesterday
Analytics Engineer
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Indexed description
We're working with a leading global management and technology consultancy with Swiss roots, specialising in empowering financial institutions to navigate change and seize new opportunities. Since 1996, this company has been shaping the future of financial services by delivering cutting-edge expertise in strategy, operations, and technology to banks and insurers worldwide, fostering a collaborative, high-impact culture where initiative and creativity are valued.
The Role
- Design and develop robust, scalable, and efficient data solutions using industry best practices and cutting-edge technologies.
- Design and implement data and AI solutions, primarily using Palantir Foundry, including AIP, AI FDE, Workshop, and Ontology Manager.
- Own the delivery of technical work packages for reinsurance and insurance projects, from requirement gathering to deployment.
- Interact with clients to scope out workflows, act as a consultant, and translate business needs into technical designs.
- Architect data models and pipelines using technologies like Spark, Python, and TypeScript.
- Mentor junior team members on projects, helping to guide their technical development and project tasks.
- Minimum of 5 years work experience delivering technology projects within start-ups, financial institutions or enterprise firms.
- Bachelor's degree in Computer Science, Actuarial Sciences, Engineering, or a quantitative field.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
- Deep understanding of data modeling, data architecture, and practical experience writing code in Python and TypeScript.
- Hands-on experience with AI and LLMs, including an understanding of practical limits like context windows and rate limits.
- Strong analytical and problem-solving skills, with the ability to think critically and strategically about complex technical challenges.
- Development and training through a comprehensive academy program with organized training and individual development budget.
- Career opportunities actively promoted by a mentorship program with experienced consultants.
- Flexible and remote working arrangements to support work-life balance.
- Participation in the success of the group through a share in the company’s profits via crypto-currency token.
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