Associate Analyst - Quantitative Solutions
Janus Henderson Investors is dedicated to helping clients achieve superior financial outcomes through disciplined investments and insights. The Associate Analyst will support the Quant Solutions team by collaborating with Portfolio Managers to design and enhance quantitative investment strategies while conducting research and data analysis.
Responsibilities
- Support Portfolio Managers in the research, development, and refinement of quantitative investment strategies, including factor‑based, systematic, and hybrid approaches
- Conduct empirical research, statistical analysis, and back‑testing to evaluate investment signals, portfolio construction techniques, and risk frameworks
- Assist in the development of new quantitative solutions aligned to client objectives, benchmarks, and risk constraints
- Support Portfolio Managers in the implementation of quantitative strategies into live portfolios, including signal translation, portfolio construction, and rebalancing processes
- Monitor portfolio performance, factor exposures, and risk characteristics; analyze drivers or returns and deviations from expectations
- Help ensure strategies are implemented consistently, accurately, and in line with stated investment philosophies
- Work with large financial datasets to support research and production processes, including data validation and maintenance
- Develop and maintain tools, models, and dashboards to support ongoing investment decision‑making and strategy monitoring
- Collaborate with technology, data, and operations teams to improve automation, robustness, and scalability of quant processes
- Prepare clear, concise research outputs and materials for internal investment discussions and reviews
- Contribute to client‑facing materials, presentations, and written content in partnership with Portfolio Managers and Distribution teams, as required
- Work closely with colleagues across Quant, Research, Risk, Trading, and Product to support an integrated investment platform
Skills
- Bachelor's degree (or higher) in a quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, Economics, Finance or Physics
- Master's degree in Financial Engineering or a related discipline, or 1–3 years of relevant professional experience
- Strong quantitative and analytical skills with a solid understanding of financial markets, and portfolio construction concepts
- Programming experience in SQL/Python; familiarity with libraries used for data analysis, statistics and financial modeling
- Ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences
- High attention to detail, strong intellectual curiosity, and the ability to manage multiple priorities in a fast-paced environment
- Pragmatic mindset with ability to balance academic rigour and real-world investment application
- Strong work ethic and commitment to delivering high-quality, investment-relevant insights
- Masters or Doctoral degree in a quantitative or analytical field e.g. Mathematics, Computer Science, or Financial Engineering
- Exposure to systematic strategies, factor investing, risk models, or performance attribution
- Progress toward or completion of progressional qualifications such as CFA, or advanced quantitative certifications
Benefits
- Generous Holiday policies
- Paid volunteer time to step away from your desk and into the community
- Support to grow through professional development courses, tuition/qualification reimbursement and more
- Maternal/paternal leave benefits and family services
- Complimentary subscription to Headspace – the mindfulness app
- Corporate membership to ClassPass and other health and well-being benefits
- Unique employee events and programs including a 14er challenge
- Complimentary beverages, snacks and all employee Happy Hours
Company Overview
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