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About the Role

The Associate Analyst will support the Quant Solutions franchise by partnering closely with Portfolio Managers and senior investment professionals in the design, analysis, implementation, and ongoing enhancement of quantitative investment strategies and solutions. The role combines rigorous quantitative research with practical portfolio application and is well suited to a candidate seeking to build a long-term career in systematic and quantitative investing within an active asset management environment.

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.

Requirements

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 professional qualifications such as CFA, or advanced quantitative certifications.
Has responsibility for supporting portfolios that are covered by the Quant Solutions team.
No supervisory responsibilities.
Willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities.
Applicants’ past political contributions or activity may impact applicants’ eligibility for this position.
Expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.

Skills

Quantitative
Analytical
Financial Markets
Portfolio Construction
SQL
Python
Data Analysis
Statistics
Financial Modeling
Communication
Attention to Detail
Intellectual Curiosity
Time Management
Pragmatic Mindset
Work Ethic
Systematic Strategies
Factor Investing
Risk Models
Performance Attribution
CFA

Location

Hybrid

Work Type

Hybrid working

Experience Level

1-3 years of relevant professional experience

Education Level

Bachelor’s degree in a quantitative discipline
Master’s degree in Financial Engineering or a related discipline
Masters or Doctoral degree in a quantitative or analytical field

Salary/Compensations

$120,000-$150,000

Benefits

Hybrid working and reasonable accommodations
Generous Holiday policies
Paid volunteer time
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
Complimentary beverages, snacks and all employee Happy Hours
Annual Bonus Opportunity
Competitive compensation
Pension/retirement plans
Various health, wellbeing and lifestyle benefits

About the Company

A career at Janus Henderson is more than a job, it’s about investing in a brighter future together.
Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.
Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust

Equal Opportunity

Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
We believe diversity improves results and we welcome applications from candidates from all backgrounds.
If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com