Jobs at Caylent

Positions 397,354

Caylent is a data‑centric fintech startup founded in 2019 that builds AI‑driven analytics platforms for banks, insurers, and wealth managers. Their flagship product, Caylent Analytics, delivers real‑time risk scoring and portfolio optimization using machine learning models. The company’s rapid growth in New York, London, and Singapore has positioned it as a leader in data‑driven finance.

Caylent hires Data Scientists, ML Engineers, Data Engineers, Software Engineers, Backend & Frontend Developers, DevOps, Cloud Architects, and Product Managers. Candidates can expect rigorous technical interviews that include data pipeline design, algorithmic problem solving, and production‑grade code reviews. The hiring process also emphasizes cultural fit around data ownership, collaborative experimentation, and continuous learning.

Job Transparency’s detailed salary ranges and employee sentiment metrics let you compare Caylent’s offers against industry benchmarks and gauge team satisfaction before you apply. Knowing the exact base, bonus, and equity components helps you negotiate confidently and align your career goals with Caylent’s compensation philosophy.

No open positions at Caylent right now.

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Frequently Asked Questions

What is it like to work at Caylent?
Caylent fosters a data‑first culture where every engineer builds end‑to‑end pipelines that directly influence client risk models. The team operates in a flat hierarchy, encourages pair‑programming, and holds bi‑weekly knowledge‑share sessions. Employees receive quarterly hackathon bonuses and access to a generous learning stipend for courses in AI, cloud, and finance. Remote work is supported with a stipend for home office equipment, while on‑site hubs in New York and London promote collaboration across time zones.
What types of positions are available at Caylent?
Caylent’s open roles span data science, machine learning, data engineering, software engineering, cloud infrastructure, DevOps, product management, UX/UI design, and data analytics. The current 232 listings include positions from entry‑level Data Analyst to senior Cloud Architect, all focused on building scalable analytics for financial institutions.
How can I stand out as a Caylent applicant?
Showcase a portfolio of end‑to‑end data projects that include feature engineering, model training, and production deployment. Highlight experience with Spark, Scala, Python, AWS or GCP, and CI/CD pipelines. Submit a concise demo or GitHub repo that demonstrates code quality, unit tests, and documentation. During interviews, prepare concrete examples of how your work reduced latency, increased throughput, or lowered model bias.

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