Quantitative Risk Tech Engineer

Point72 Asset Management, L.P; Greater London; Hybrid; GBP 120,000 - 150,000; Full time

Benefits offered by this job

Private Medical and Dental Insurances

Generous parental and family leave

Volunteer opportunities

Affinity groups and wellness programs

Tuition assistance

Non-contributory pension

Job summary

Point72 is seeking a talented quantitative software professional to join its Technology team in London, focusing on risk modeling, analytics, and scalable data processing for its global investment platform.

You will collaborate with risk quants and engineers to translate complex financial problems into robust technical solutions, using Python, SQL, and modern data architectures, while upholding the firm's high ethical standards and commitment to innovation.

Qualifications

• Strong understanding of equity factor models and their application.
• Proven track record in financial instrument modeling within equities.
• 5+ years of Python or equivalent programming in quantitative/research roles.
• Experience with layered data architecture (bronze/silver/gold) in pipelines.
• Advanced SQL skills in large-scale environments with optimization.
• Solid CS/math/physics training.
• Excellent written and verbal communication; team player.
• Commitment to highest ethical standards.

Responsibilities

• Collaborate with Risk quants to design new risk factor models.
• Develop quantitative risk and performance analytics.
• Build a scalable reporting framework capable of processing terabytes of data.
• Collaborate with engineers on system design and code quality.
• Translate ambiguous business problems into technical requirements and solutions.

Skills

Equity factor models

Financial instrument modeling

Python

Data architecture

SQL

Algorithms & data structures

STEM background

Communication

Ethics

Education

CS/Math/Physics background

Job description

Point72 is seeking a talented quantitative software professional to join its Technology team in London, focusing on risk modeling, analytics, and scalable data processing for its global investment platform.

You will collaborate with risk quants and engineers to translate complex financial problems into robust technical solutions, using Python, SQL, and modern data architectures, while upholding the firm's high ethical standards and commitment to innovation.