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C

Data Scientist

Coolabah Capital Investments

London Area, United Kingdom · 全职

抢先申请

经验
任何
薪水
职位空缺
1
发布
3小时前
工作模式
在办公室
学历
Advanced degree in statistics, engineering, science, or actuarial science
恢复
需要申请

职位描述

About the Role

Join Coolabah Capital Investments, a rapidly expanding fixed income fund manager, as a full-time Data Scientist based in London. This position involves intensive research and coding focused on fixed income markets, with responsibilities spanning long-term project research and engineering tasks. You'll work closely with the lead data scientist and portfolio managers to apply a variety of data science techniques to asset pricing and portfolio management.

Key Responsibilities

  • Implement asset pricing and portfolio management models using R and other programming languages.
  • Manage and preprocess large datasets from diverse sources.
  • Compare research methods against cutting-edge academic standards.
  • Back-test models with appropriate benchmarks and metrics.
  • Lead model development and convert research into production-ready systems.
  • Create clear and engaging data visualizations.
  • Write well-communicated method papers.
  • Deliver outputs according to scheduled deadlines.
  • Continuously explore enhancements to technical methodologies.

Candidate Profile & Requirements

  • Advanced degree in statistics, engineering, science, actuarial science, or related field.
  • Experience applying data science techniques in an industry context.
  • Strong team collaboration skills.
  • Proficiency in statistical modeling and data analysis.
  • Competence in data preprocessing and handling large datasets.
  • Familiarity with software engineering best practices, particularly in shared codebases.
  • Excellent communication abilities, both written and verbal.
  • Ability to maintain a high work ethic and willingness to work beyond standard hours.
  • No prior financial markets experience is necessary.
  • Experience with R tidyverse preferred; alternatively, proficiency in R data.table, Python pandas, SQL or similar with readiness to transition to tidyverse.

Compensation and Benefits

  • Competitive salary reflecting market standards.
  • Performance-related bonuses with the possibility of equity participation.
  • Opportunity for significant responsibility and creative innovation in the role.

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