Data Product Engineer
Bogota
Formula.Monks
Formula.Monks is an effective innovation consultancy focused on building new lines of business using technology as an enabler.
Formula.Monks, part of Media.Monks and S4 Capital, is a global consulting firm mastering AI-powered transformations for the Fortune 100. We combine long-term strategic thinking, deep enterprise experience, and a human-centered approach to help clients transform business processes and dominate their industries.
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.
Apply anyway! We would love to learn more about you and find out about how your skills could add value. At Formula.Monks, we value open communication and feedback. We believe that diversity of identity, perspective, and experience makes us stronger; we would love to hear your perspective too!
Formula.Monks is an Equal Opportunity Employer; employment with Formula is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, marital status, mental or physical disability or any other legally protected status
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 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
Apply anyway! We would love to learn more about you and find out about how your skills could add value. At Formula.Monks, we value open communication and feedback. We believe that diversity of identity, perspective, and experience makes us stronger; we would love to hear your perspective too!
Formula.Monks is an Equal Opportunity Employer; employment with Formula is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, marital status, mental or physical disability or any other legally protected status
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Product Jobs
Tags: Consulting Consulting firm Engineering Kafka Kubernetes Linux Machine Learning NumPy Pandas Python Scikit-learn SQL Streaming
Perks/benefits: Team events
Region:
South America
Country:
Colombia
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