Quant Research Analyst

TN United Kingdom; London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

An established industry player in asset management seeks a Quant Research Analyst to enhance stock selection processes with a focus on ESG factors. This role involves conducting quantitative analysis, developing automation tools, and assisting in portfolio management. The firm values collaboration and innovation, offering a hybrid work environment and a comprehensive benefits package to support employee well-being. Join a team committed to sustainable investing and help shape the future of investment management.

Benefits

Comprehensive Benefits Package

Pension Plan

Tuition Reimbursement

Hybrid Work Environment

Mental Well-being Support

Physical Well-being Support

Work-Life Balance

Qualifications

• Expertise in quantitative analysis and handling large data sets.
• Proficiency in programming languages such as Python or R.

Responsibilities

• Conduct research, back-testing, and documentation of ESG factors.
• Develop tools and strategies for signal construction.

Skills

Quantitative Analysis

Python

R

ESG Data Handling

Communication Skills

Education

Degree in Mathematics

Degree in Statistics

Degree in Computing

Tools

Data Analysis Tools

Job description

Social network you want to login/join with:

Quantitative Investment Management (QIM) team

Manages over 50 equity strategies across various geographies, investment styles, and risk/return profiles. The team is experiencing strong asset and account growth, requiring further investment into people, data, and tools.

Position: Quant Research Analyst, Investment Management Unit, London

As part of the QIM team, the Quant Research Analyst will support various equity portfolios by maintaining and enhancing stock selection factors and processes, with a focus on ESG factors.

Key Responsibilities:

1. Research (40%): Propose and validate new ideas; conduct research, back-testing, and documentation of ESG factors; communicate findings effectively.
2. Automation (20%): Develop tools and strategies for signal construction.
3. Portfolio Management (20%): Assist in portfolio management, ensure input accuracy, and identify enhancement opportunities.
4. Communication and Client Service (20%): Present findings through meetings and publications; stay updated on sustainable investing research; collaborate with clients, operations, and research teams.

Qualifications:

• Expertise in quantitative analysis and handling large data sets.
• Proficiency in programming languages such as Python or R.
• Experience with ESG data and familiarity with ESG regulations.
• Ability to communicate results to non-technical audiences.
• Proactive attitude and willingness to engage in various projects.

Preferred Attributes:

• Strong academic background in mathematics, statistics, and computing.
• Experience with portfolio construction and factor models.
• Excellent organization skills for managing multiple projects.
• Alignment with SEI Values: courage, integrity, collaboration, inclusion, connection, and fun. More information is available on our website.

SEI’s Competitive Advantages:

We offer a comprehensive benefits package, including physical and mental well-being support, a robust pension plan, tuition reimbursement, hybrid work environment, and a healthy work-life balance.

SEI is a technology and asset management firm committed to building brave futures— for our clients, communities, and ourselves. Join us to build your brave future at SEI.