Senior Level Quant Analyst
Confidential Company, Atlanta, GA, United States
A high-impact quantitative investment team is seeking an additional Quantitative Analyst to support the preparation and execution of trades and the ongoing maintenance of internal quantitative investment strategies.
This role is ideal for a hands-on quantitative professional who enjoys building, maintaining, and scaling analytical tools used directly in the investment process.
The team supports three internally managed quantitative strategies:
Role Composition
Approximately
⅓ statistics and quantitative analysis , including regression-based methods
The team operates across
two core functional areas , and this role will contribute to both:
Prepare and execute trades driven by:
Cash flows
Portfolio reallocations and rebalances
Run full rebalance processes independently
Respond to and troubleshoot operational and trade-related questions
Quant Strategy Function
Support and maintain the firm’s quantitative investment strategies
Build, enhance, and maintain models used within those strategies
Develop and support quantitative tools used in the investment process
Collaborate closely with other team members on strategy implementation and scalability
Technical Environment
Heavy use of
Python
for data manipulation, analytics, and automation
Extensive scripting and code-driven workflows
Legacy exposure to
R
(experience helpful but not required)
Large, complex financial datasets; emphasis on clean, reliable, and well-documented code
Required Skills and Qualifications
Strong proficiency in
Python
Deep experience with data manipulation and programmatic workflows
Solid working knowledge of
statistics , including regression-based techniques
Ability to work independently and handle complex, ambiguous problems
Intellectual curiosity and resilience in a technical, production-oriented environment
Ideal Candidate Profile
Experience working at an investment manager, asset manager, or quantitative investment firm
Background in
Mathematics, Statistics, Computer Science, Engineering , or a related quantitative discipline
Hands-on experience analyzing and working with investment or financial market data
#J-18808-Ljbffr
This role is ideal for a hands-on quantitative professional who enjoys building, maintaining, and scaling analytical tools used directly in the investment process.
The team supports three internally managed quantitative strategies:
Role Composition
Approximately
⅓ statistics and quantitative analysis , including regression-based methods
The team operates across
two core functional areas , and this role will contribute to both:
Prepare and execute trades driven by:
Cash flows
Portfolio reallocations and rebalances
Run full rebalance processes independently
Respond to and troubleshoot operational and trade-related questions
Quant Strategy Function
Support and maintain the firm’s quantitative investment strategies
Build, enhance, and maintain models used within those strategies
Develop and support quantitative tools used in the investment process
Collaborate closely with other team members on strategy implementation and scalability
Technical Environment
Heavy use of
Python
for data manipulation, analytics, and automation
Extensive scripting and code-driven workflows
Legacy exposure to
R
(experience helpful but not required)
Large, complex financial datasets; emphasis on clean, reliable, and well-documented code
Required Skills and Qualifications
Strong proficiency in
Python
Deep experience with data manipulation and programmatic workflows
Solid working knowledge of
statistics , including regression-based techniques
Ability to work independently and handle complex, ambiguous problems
Intellectual curiosity and resilience in a technical, production-oriented environment
Ideal Candidate Profile
Experience working at an investment manager, asset manager, or quantitative investment firm
Background in
Mathematics, Statistics, Computer Science, Engineering , or a related quantitative discipline
Hands-on experience analyzing and working with investment or financial market data
#J-18808-Ljbffr