About this opportunity
Kenmore Design LLC lists this Machine Learning Engineer opportunity in workfromhome, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Kenmore Design is a global fintech software provider delivering CRM, risk, and analytics solutions to Forex brokers and proprietary trading firms worldwide. As our platform grows, we are expanding our use of smart automation, advanced analytics, and data-driven risk intelligence .
We are looking for a Machine Learning Engineer to take ownership of intelligent systems that analyze trading behavior, automate decision-making, and enhance risk and performance insights for our clients.
Role Overview
This role focuses on applying machine learning and advanced analytics to real-world trading data . You will work with large datasets such as historical trading activity, price feeds, and account-level metrics to build models that support risk calculations, anomaly detection, automation, and reporting.
You will collaborate closely with product, risk, and engineering teams to turn complex financial data into actionable insights used directly by brokers and prop firms.
Key Responsibilities
Design and implement machine learning models for smart automation and advanced analytics
Work with large datasets, including historical trading history, price data, and account behavior
Develop models related to risk calculations , performance analysis, and anomaly detection
Support automation workflows that enhance operational efficiency for clients
Clean, normalize, and structure data for modeling and analysis
Evaluate model performance and continuously improve accuracy and reliability
Collaborate with engineering teams to integrate ML outputs into production systems
Translate complex analytical results into clear, usable outputs for internal teams and clients
Stay current with ML techniques relevant to financial data and time-series analysis
Required Skills & Experienc e
Proven experience as a Machine Learning Engineer, Data Scientist, or similar role
Strong background working with large datasets and time-series data
Experience building models related to risk, prediction, classification, or anomaly detection
Solid programming skills (Python or similar ML-focused languages)
Experience with data processing, feature engineering, and model evaluation
Understanding of financial or trading data structures is a strong advantage
Ability to work independently and take ownership of ML-driven features
Nice to Have (Strong Plus )
Experience in fintech, trading platforms, or prop firm environments
Familiarity with market data, price feeds, or execution data
Experience integrating ML models into live production systems
Knowledge of automation pipelines and analytics dashboards
What We Offe r
High-impact role working on live fintech and trading systems
Opportunity to shape how automation and analytics are used by brokers and prop firms
Remote-friendly work environment with flexible arrangements
Collaboration with experienced engineers and product specialists
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.