Equities Data Architect & Insights Analyst

Point72; Miami Beach (FL); On-site; USD 150,000 - 240,000; Full time

Benefits offered by this job

Fully-paid health care benefits

Generous parental leave

401(k) with employer match

Tuition assistance

Wellness programs

Job summary

Point72, a leading global investment firm, is seeking a data-focused professional to design and deploy data products and predictive models that support investment decisions. You will work with diverse data types, build scalable pipelines, and collaborate across teams to deliver timely insights while adhering to firm standards.

The role emphasizes rigorous quantitative analysis, strong coding skills (Python or R), and clear communication.

Qualifications

• Undergraduate degree or higher in a quantitative field.
• Experience with structured, unstructured, and time-series data.
• Strong coding in Python or R and Git familiarity.
• Solid understanding of statistics and large-scale data analysis.
• Ability to translate business questions into data-driven solutions.
• Excellent communication and teamwork.

Responsibilities

• Analyze diverse data to influence idea generation and investments.
• Design, build, and maintain data products and predictive models.
• Investigate innovative data extraction approaches.
• Develop automated systems to ingest and analyze data in real time.
• Scale data infrastructure for performance and reliability.
• Create well-documented code and data pipelines.
• Stay updated on approved technologies.
• Partner with Compliance on data sources and analytics.

Skills

Quantitative ability

Statistical concepts

Coding in Python or R

Data visualization

Analytical thinking

Teamwork & communication

Lifelong learning

Ethical standards

Education

Undergraduate degree or higher

Tools

Git

Job description

Point72, a leading global investment firm, is seeking a data-focused professional to design and deploy data products and predictive models that support investment decisions. You will work with diverse data types, build scalable pipelines, and collaborate across teams to deliver timely insights while adhering to firm standards.

The role emphasizes rigorous quantitative analysis, strong coding skills (Python or R), and clear communication.