London £50-80k Are you a talented Data Scientist with a passion for energy trading and a knack for solving complex business problems? Key Responsibilities: Collaborate with stakeholders and traders to understand business needs and develop solutions. Utilize supervised learning algorithms, including Bayesian logic, to set up trading strategies. Build and deploy forecasting machine learning models […]
London
£50-80k
Are you a talented Data Scientist with a passion for energy trading and a knack for solving complex business problems?
Key Responsibilities:
- Collaborate with stakeholders and traders to understand business needs and develop solutions.
- Utilize supervised learning algorithms, including Bayesian logic, to set up trading strategies.
- Build and deploy forecasting machine learning models to optimize trading decisions.
- Apply quantitative analysis to establish machine learning models and address business challenges effectively.
- Leverage your strong mathematical background to develop innovative solutions for energy trading.
Ideal Profile:
- Previous experience working in a front office-facing role, with the ability to communicate effectively with stakeholders and traders.
- Proficiency in setting up supervised learning algorithms and building forecasting ML models.
- Strong mathematical background, preferably with experience in quantitative analysis or a pure mathematics background.
- Experience in the energy sector or other commodities trading industries is desirable.
- Strong mathematics background
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Data Engineer – Crypto – Up to £150k (DOE) + Bonus – Hybrid Our client is an innovative research and technology firm aiming to establish itself as a prominent player in the realm of digital assets. Operating as a globally distributed and decentralized team, the company maintains physical offices in Switzerland, London, and NYC. The […]
Data Engineer – Crypto – Up to £150k (DOE) + Bonus – Hybrid
Our client is an innovative research and technology firm aiming to establish itself as a prominent player in the realm of digital assets. Operating as a globally distributed and decentralized team, the company maintains physical offices in Switzerland, London, and NYC. The team is composed of experienced professionals from diverse backgrounds encompassing Crypto, Quantitative Finance, Technology, and Financial sectors. Bound together by a mutual passion for cooperative ideation, continuous learning, and inventive issue resolution, they are dedicated to pushing the boundaries of digital asset solutions.
About the role:
This role wields considerable influence, presenting the chance to make significant contributions to the advancement and oversight of the data engineering platform. The ideal candidate should possess strong technical prowess along with a proven ability to seamlessly collaborate with quantitative researchers, ensuring the streamlined processing, analysis, and management of an extensive and varied array of datasets that drive the quantitative investment process.
Responsibilities:
- Working closely with QRs to comprehend their precise data prerequisites and devising technical remedies that harmoniously mesh with quantitative strategies.
- Conceiving, producing, and refining resilient data pipelines that expedite ETL processes, bolstering quantitative research, analysis, alpha prediction, and execution.
- Instituting meticulous data quality assurance protocols to uphold the precision, dependability, and uniformity of data inputs and outputs.
- Assessing, selecting, and overseeing appropriate data engineering tools, technologies, and infrastructure, with an emphasis on scalability and automation.
Requirements:
- A minimum of 3 years’ involvement in data engineering within a quantitative hedge fund setting.
- A Master’s or Ph.D. degree in Computer Science, Engineering, Data Science, or a related discipline from a prestigious global institution.
- Competence in programming languages such as Python, Java, or C++.
- Hands-on familiarity with big data technologies like Hadoop, Spark, or analogous frameworks, as well as a robust command of SQL and relational databases.
- Capability to conceptualize and enhance data pipelines, data modelling, ETL processes, data warehousing, and data governance.
- Strong oral and written communication abilities, including the adeptness to collaborate effectively with quantitative researchers and other stakeholders, translating their prerequisites into efficacious technical solutions.
Due to the high calibre of hire the client is looking for, only candidates with hands on experience in the above requirements will be considered. If you would like to be considered for any of our other available opportunities, please email your CV to [email protected]
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Durlston Partners is collaborating with a pioneering Quant Trading firm in their search for an experienced Research Engineer who excels in solving large-scale numerical and computational problems. In this role, you’ll work closely with the Research Team to deliver scalable solutions for their research infrastructure and facilitate the deployment of new models in live trading. […]
Durlston Partners is collaborating with a pioneering Quant Trading firm in their search for an experienced Research Engineer who excels in solving large-scale numerical and computational problems.
In this role, you’ll work closely with the Research Team to deliver scalable solutions for their research infrastructure and facilitate the deployment of new models in live trading. The firm leverages cutting-edge statistical and machine-learning techniques to improve the research process and create novel algorithms for signals prediction.
In addition to offering an intellectually stimulating environment, this firm is renowned for providing highly competitive compensation packages that truly reward talent and commitment.
The role is open in both Chicago or London.
Responsibilities:
- Collaborate with research and technology teams to investigate novel research ideas, assess them through large-scale experiments, and develop scientific libraries to disseminate these discoveries and methodologies.
- Build the tools and engines that propel their platforms and models into live trading scenarios.
- Evolve to independently conceive, test, develop, and oversee research projects and processes.
Requirements:
- Expertise in Python and C++
- Track-record of solving large parallel computational problems
- Strong numeracy skills and mathematical background
- Experience building software in quantitative trading environments is beneficial, but also open to candidates outside of industry (Big Tech, AI, self-driving, etc..).
- Excellent software development practices
- Stellar academic background in a STEM field
We will respond to all successful candidates shortlisted for this opportunity within 2 days and would advise all candidates to follow our LinkedIn company page for all the latest opportunities.
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