Trading operations developer Work, Jobs in Amersham (with Salaries)

Data Science Machine Learning Internship (Summer 2027)
Castleton Commodities International —London
- Full-time
- Analysis skills
- Bachelor's degree
- Machine learning
8d
Full Stack Developer, Aladdin Trading Engineering, Associate
BlackRock Investments —London
- Hybrid work
- Computer Science
- Engineering
- Java
- Work from home
Technology | Quantitative Developer (Low Latency) | London
Flowdesk —London
- Full-time
- Hybrid work
- System design
- English
- Analysis skills
Quick apply
Business Analyst – Energy Trading
Capco —London
- Full-time
- Hybrid work
- Azure
- SQL
- Bachelor's degree
- Annual leave
- Life insurance
Quick apply
Graduate Machine Learning Researcher - Chicago
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
- Annual leave
Data Engineering Internship (Summer 2027)
Castleton Commodities International —London
- Full-time
- Azure
- Computer Science
- Engineering
8d
Senior Investment Analyst TAA and Portfolio Oversight
LegalAndGeneral —London
- Full-time
- Hybrid work
- Microsoft Excel
- SQL
- Communication skills
- Employee discount
Quick apply
Associate Quantitative Strategist
Javelin Global Commodities —London
- Customer service
- Maths
- Communication skills
- Life insurance
Quick apply
10d
Finance Desk Technology - Collateral Management Development lead
Citi —London
- Full-time
- Hybrid work
- Oracle
- Java
- APIs
- Annual leave
- Employee assistance programme
Market Operations Analyst (APAC/Europe Session)
Quantiq —London
- Analysis skills
- Maths
- Bachelor's degree
Senior Investment Analyst TAA and Portfolio Oversight
Legal & General Investment Management —London
- Microsoft Excel
- SQL
- Communication skills
- Employee discount
Front Office Software Engineer Internship (Summer 2027)
Castleton Commodities International —London
- Full-time
- Computer Science
- Engineering
- Master's degree
8d
Engineering - Prime Finance Engineering - Vice President – London
Goldman Sachs —London
- Full-time
- Java
- Master's degree
- Analysis skills
- Employee assistance programme
Principal Python Software Engineer
CBOE —London
- Full-time
- Computer Science
- Java
- SQL
- Employee stock purchase plan
- Employee assistance programme
Production Engineer – Trading & Electronic Trading Systems
Margo Conseil —London
- SQL
- Analysis skills
- Scripting
Head of Sales - Energy Solutions
Super charge —London
- Full-time
- Sales
- Engineering
- Master's degree
Technical Account Manager (TAM)
Trading Technologies —London
- Full-time
- Hybrid work
- SQL
- Computer networking
- In-person
- Annual leave
- Gym membership
Technology Services Lead- London
FDM Group —London
- Hybrid work
- Management
- Analysis skills
- Mentoring
- Annual leave
Core Quantitative Strategic Analytics Developer
Deutsche Bank —London
- Full-time
- Hybrid work
- C++
- Linux
- Communication skills
- Employee discount
1d
Head of Business Operations / COO
OKX —London
- English
- Bachelor's degree
- AI
14d

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Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International -
London

Apply Now

Job details

Full-time
8 days ago

Qualifications

NumPy
Mathematics
Pandas
Analysis skills
Bachelor's degree
Machine learning
Regression analysis
Python

Full job description

Application Deadline: September 1, 2026 at 11:59 pm EST

Program Summary - Data Science & Technology Internship

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for a motivated and detail-oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in our London office. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
Expected graduation date of Winter 2027 or Spring/Summer 2028.
Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
Strong analytical skills with demonstrated attention to detail.

Apply Now

Refine Your Search

trading operations developer jobs in amersham

Data Science Machine Learning Internship (Summer 2027)

Full Stack Developer, Aladdin Trading Engineering, Associate

Technology | Quantitative Developer (Low Latency) | London

Business Analyst – Energy Trading

Graduate Machine Learning Researcher - Chicago

Data Engineering Internship (Summer 2027)

Senior Investment Analyst TAA and Portfolio Oversight

Associate Quantitative Strategist

Finance Desk Technology - Collateral Management Development lead

Market Operations Analyst (APAC/Europe Session)

Senior Investment Analyst TAA and Portfolio Oversight

Front Office Software Engineer Internship (Summer 2027)

Engineering - Prime Finance Engineering - Vice President – London

Principal Python Software Engineer

Production Engineer – Trading & Electronic Trading Systems

Head of Sales - Energy Solutions

Technical Account Manager (TAM)

Technology Services Lead- London

Core Quantitative Strategic Analytics Developer

Head of Business Operations / COO

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