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CyberCube
CyberCube
51 – 200 Xodimlar
H1B vizasi homiysiKiberxavfsizlikSug‘urtaSun’iy intellekt
CyberCube sun’iy intellektni turli sohalardagi ekspertiza bilan birlashtirib, murakkab kiberxavflarni o‘lchanadigan moliyaviy tahlillarga aylantiruvchi kiberxavf analitikasi yechimlarini ishlab chiqadi. Uning vositalari sug‘urta kompaniyalari, brokerlar, boshqaruvchi bosh agentlar, qayta sug‘urtalovchilar va portfel jamoalarini kiber anderrayting, brokerlik, portfelni boshqarish hamda tizimli xavfni tahlil qilish yo‘nalishlarida qo‘llab-quvvatlaydi. 2015-yilda tashkil etilgan CyberCube kiberxavfsizlik, sug‘urta va sun’iy intellekt kesishgan nuqtada faoliyat yuritadi.
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Kompaniyadagi ish o‘rinlari

Lead Actuary, Cyber Risk Analytics - CyberCube (Hybrid, New York)

Lead actuarial analysis and develop statistical models and tools for CyberCube’s cyber-risk analytics platform serving global insurers. Stress-test and validate models and data, then communicate findings to internal teams and customers.

USAmerika Qo‘shma ShtatlariNYNyu-York
125 000 $ – 145 000 $ / yil
GibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaAktuariy
PythonSQLTableauVBA

Tavsif

  • Use statistical methods to conduct comprehensive analyses
  • Stress-test internal models against expected outputs and customer needs
  • Detect bugs and edge cases in internal models
  • Interpret key findings and validate them with team members
  • Present analytical results to internal and external customers
  • Continually validate and adapt models as environments change
  • Contribute to internal research and development initiatives
  • Provide analytical and actuarial support to colleagues
  • Source relevant public information and data for underwriting and actuarial tools
  • Assess data sources for consistency, completeness, accuracy, and quality
  • Document modules used in internal tools

Talablar

  • Demonstrate organization, attention to detail, discretion, thoroughness, independence, analytical ability, results orientation, and an efficiency-focused mindset
  • Work effectively both independently and as part of a team
  • Bring strong analytical and problem-solving capabilities
  • Have practical experience with VBA, SQL, R, Python, Tableau, or comparable statistical software
  • Hold a bachelor’s degree in statistics, actuarial science, data science, economics, mathematics, or a related quantitative field, or offer relevant professional experience
  • Bring 3 to 5 years of relevant work experience
  • Show fluency with AI, curiosity about its applications, and willingness to learn and use AI tools thoughtfully
  • The employer states an equal opportunity policy and does not specify work authorization requirements

Imtiyozlar

  • Comprehensive healthcare coverage, including dental and vision plans
  • Flexible working hours
  • Work-from-home flexibility when needed
  • Eligibility to participate in a secondment program
  • Access to a company-supported mentorship program
  • A collaborative, respectful, and empathetic workplace culture

O‘xshash ish o‘rinlari

Deutsche Windtechnik

Site Coordinator, Wind Energy Operations

Deutsche Windtechnik
1 001 – 5 000 Xodimlar
Malakali ishchi vizasi homiysiIshlab chiqarishKonsaltingLogistika
TWTayvanOfisdaTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaTalab Qilinadigan Til: xitoyUmumiy

Coordinate project documents and maintenance reporting for Deutsche Windtechnik’s wind energy operations in Taiwan. Work with engineers, clients, and other stakeholders to manage permits, safety records, and document control.

Ochish
Ambush

Senior Machine Learning and AI Engineer

Ambush
51 – 200 Xodimlar
Malakali ishchi vizasi homiysiKonsaltingLogistikaSog‘liqni saqlash
BRBraziliyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
AWSAzureBulutDockerGoogle Cloud PlatformKubernetesPythonReactSQLTerraform

Build production-grade generative AI and agent workflows for Ambush’s financial services clients. Develop Python and FastAPI services, SQL data workflows, retrieval-augmented generation, and cloud-based AI systems.

Ochish
GFN

Senior Software Engineer, Machine Learning

GFN
201 – 500 Xodimlar
Elektron tijoratFintexSaaS
DEGermaniyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: nemischaTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
AWSAzureDjangoDockerKubernetesPythonRubyRuby on RailsTerraform

Build backend infrastructure and AI-enabled learning products for GFN, a German education provider. Develop scalable educational platforms with a focus on robust software architecture and practical machine learning.

Ochish