Research operations associate

Capital Fund Management (CFM); Paris; Sur place; EUR 50 000 - 65 000; Plein temps

Résumé du poste

Capital Fund Management seeks an Associate to support the Head of Predictor Research. The role blends research operations, executive-ready communication, and hands-on analytics to monitor predictor performance in production and in simulations.

You will help run monthly leadership meetings, maintain notebooks, and deliver dashboards with KPIs. The position emphasizes accuracy, reproducibility, and clear summaries for technical and non-technical audiences.

Qualifications

• 3+ months to 2–5 years in an analytical/ops/research-adjacent role.
• Familiarity with Python / pandas; comfort maintaining Jupyter notebooks used for recurring reporting.
• Ability to create polished slides and write clear summaries for technical and non-technical audiences.

Responsabilités

• Monthly meetings: organize agendas, logistics, action-item tracking and follow-ups.
• Predictor monitoring: maintain Python/pandas notebooks, compute metrics, and generate standardized outputs.
• Slides & narrative: translate metrics into charts/tables and concise monthly slide packs.
• Dashboards: create lightweight dashboards and automated reports to reduce manual work and improve self-serve access.
• Conference coordination: maintain a calendar of conferences and collect/distribute post-conference takeaways.
• Internal communications & knowledge sharing: maintain Confluence spaces/pages and produce a fortnightly research digest.

Connaissances

Python

Pandas

Jupyter notebooks

Presentation skills

Stakeholder coordination

Outils

Tableau

Power BI

Description du poste

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.

We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

YOUR ROLE

We are hiring an Associate to support the Head of Predictor Research at CFM. This role blends research operations, executive-ready communication, and hands-on analytics to support a growing research organization. You will help run monthly leadership meetings, maintain the notebooks used to monitor predictor performance in production and simulation, and (over time) help deliver dashboards keeping track of the KPIs of the team.

Core outputs: recurring notebooks + monthly slides (dashboards a plus)

KEY RESPONSIBILITIES

• Monthly meetings: organize agendas, logistics, and action-item tracking for monthly meetings; drive follow-ups to closure.
• Predictor monitoring: maintain and improve Python/pandas notebooks (Jupyter), compute/validate metrics, and generate standardized outputs.
• Slides & narrative: translate metrics into clear charts/tables and concise, decision-oriented monthly slide packs.
• Dashboards (growing responsibility): create lightweight dashboards/automated reports to reduce manual work and improve self-serve access.
• Conference coordination: maintain a list/calendar of key conferences, coordinate attendance recommendations, and collect/distribute post-conference takeaways and follow-ups.
• Internal communications & knowledge sharing (Confluence/Teams):
• -Maintain and improve Confluence spaces/pages used to share research information and meeting content
• -Produce a fortnightly newsletter (research digest) broadcasted to a large audience, summarizing: key predictor performance themes, notable research/production updates, upcoming milestones, conference takeaways, and open actions/asks.

YOUR SKILLS

• 2–5 years in an analytical/ops/research-adjacent role.
• Familiarity with Python / pandas; comfort maintaining Jupyter notebooks used for recurring reporting.
• Strong attention to correctness and reproducibility.
• Ability to create polished slides and write clear summaries for technical and non-technical audiences.
• Highly organized, reliable, and comfortable coordinating across many stakeholders.

Preferred

• Familiarity with time-series/model monitoring concepts (performance decay, stability/drift, coverage…).
• Dashboarding experience (e.g., Tableau/Power B).
• Experience running internal communications (newsletters, wiki hygiene) in technical organizations.

  We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.

  CFM is a signatory of the Women Empowerment Principles.

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