Data Product Engineer

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About the Role

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.

Responsibilities

• Develop and implement applications that achieve measurable market impact
• Build and optimize real-time and batch pricing algorithms
• Collaborate within a multidisciplinary team of engineers and data scientists
• Engage in deployment to Kubernetes environments and integration with existing data systems
• Ensure efficient data processing leveraging Python libraries (Polars/Pandas, numpy, sklearn)
• Work with SQL to design, query, and manage databases
• Produce and consume events from Kafka for data streaming
• Other duties as assigned

Qualifications & Skills

• 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 with the 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

At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

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About Monks

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.