ARM5™ Formula Co. is a global consulting and technology services firm dedicated to helping leading brands and Fortune 100 companies modernize their technology solutions. They specialize in enterprise consulting, product delivery of end-to-end software solutions, and managed capacity to scale and manage teams and technologies, aiming to transform business processes and culture effectively.
Marketing Strategy • Internet Marketing • Infusionsoft • Online Business • Active Campaign
March 11
ARM5™ Formula Co. is a global consulting and technology services firm dedicated to helping leading brands and Fortune 100 companies modernize their technology solutions. They specialize in enterprise consulting, product delivery of end-to-end software solutions, and managed capacity to scale and manage teams and technologies, aiming to transform business processes and culture effectively.
Marketing Strategy • Internet Marketing • Infusionsoft • Online Business • Active Campaign
• Formula.Monks, part of Media.Monks and S4 Capital, is a global consulting firm mastering AI-powered transformations for the Fortune 100. • As a Data Product Engineer, you will play a critical role in enhancing our machine learning capabilities and data-driven decision-making processes. • You will work on impactful projects across multiple asset classes and collaborate within a multidisciplinary team to develop innovative applications and real-time pricing algorithms.
• Minimum 4 years of experience in Machine Learning or Data Engineering roles • BSc/MSc in a Scientific or Quantitative field • Strong proficiency in Data/Machine Learning, Python, and SQL • Experience with Linux environments, including Bash scripting and basic network tools (SSH, SCP, FTP) • Extensive experience DS stack: Python {Polars/Pandas}, numpy, sklearn • Familiarity deploying to Kubernetes and working in cloud environments • Kafka producer experience • Collaborative mindset, business-focused attitude, and ability to meet tight deadlines • Ability to read and edit others' code, ensuring quality and clarity • Nice to have: Experience working across multiple asset classes • Knowledge of asset classes such as ETFs, Fixed Income, Equities, or FX is preferred
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