Hybrid Quantitative Analyst: Data, Risk & Models

Janus Henderson Investors; Denver (CO); Hybrid; USD 140,000 - 160,000; Full time

Benefits offered by this job

Hybrid work model

Wellbeing benefits

Volunteer time

Job summary

Janus Henderson Investors seeks a data-driven professional to collaborate with the Central Research Team, building scalable data pipelines and cloud infrastructure to support research and production workflows.

You will decompose portfolio performance into factor exposures, support risk management and portfolio construction, and design alpha models to refine stock selection and methodologies. A strong investment mindset and technical mastery are essential.

Qualifications

• Proven ability to build credibility, influence outcomes, and collaborate with diverse stakeholders.
• Architect scalable cloud-based data pipelines and research platforms for exploratory and production use.
• Experience with institutional investment data platforms and real-time/point-in-time datasets.
• Interest in fundamental investing and applying data-driven insights to investments.

Responsibilities

• Partner with key stakeholders on the Central Research Team to support the management of our Research Suite of products.
• Design, maintain, and enhance scalable data pipelines and cloud-based infrastructure supporting research and production workflows.
• Proactively decompose portfolio performance into factor exposures to aid risk management and portfolio construction.
• Design, evaluate, and implement alpha models to refine stock selection and portfolio construction methodologies.
• Support recurring analyses, documentation, QA processes and project coordination to reduce operational friction.

Skills

Relationship Management

Technical Expertise

Financial Data

Investment Acumen

Education

Advanced degree (Financial Engineering, Statistics, CS, Math, Finance)

CFA Certification/Charter (preferred)

Tools

Bloomberg

FactSet

S&P Capital IQ/Compustat

Job description

Janus Henderson Investors seeks a data-driven professional to collaborate with the Central Research Team, building scalable data pipelines and cloud infrastructure to support research and production workflows.

You will decompose portfolio performance into factor exposures, support risk management and portfolio construction, and design alpha models to refine stock selection and methodologies. A strong investment mindset and technical mastery are essential.