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Manager Algorithmic Trading Quant Jobs in Georgia

Our information management professionals are highly motivated, dynamic and diverse - we value ... Shape the technical response: design solution blueprints, evaluate build-vs-buy trade-offs, and ...

Constructs data models (algorithms and formulas) for required business needs and predictions. Works ... managers to pinpoint queries, map data, and validate results. Maintains and enhances the ...

The Opportunity As a Data Scientist, you will partner with your manager and the Lead Data Scientist ... Define, develop, and refine analytical, statistical, and machine learning algorithms for advanced ...

... algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple ... business managers. • Works closely with Application Engineering, Product Management, and ...

... algorithms and formulas) for required business needs and predictions. • Works closely with ... managers to pinpoint queries, map data, and validate results. Maintains and enhances the ...

Manage and direct data science team to accomplish technical goals and develop data insights ... quantitative discipline (e.g. advanced statistical analysis) * Experience leading a team of data ...

Manage and direct data science team to accomplish technical goals and develop data insights ... quantitative discipline (e.g. advanced statistical analysis) * Experience leading a team of data ...

Manages trade show events; including space requirements and shipment of booth set-up and sales ... Research * Assists with executing qualitative and quantitative customer research studies.

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... algorithms for future use, ensuring developed codes are documented Direct Manager/Direct Reports ... Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work ...

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Manager Algorithmic Trading Quant information

What is another word for manager or leader?

In the context of a Manager Algorithmic Trading Quant, alternative words for manager or leader include supervisor, director, head, or team lead. These terms describe roles responsible for overseeing trading strategies, managing teams, and making strategic decisions within quantitative trading environments.

What is the role of a manager?

A manager oversees a team or department, sets goals, and ensures tasks are completed efficiently. In an algorithmic trading context, they coordinate trading strategies, manage risk, and lead quantitative analysts and developers. Strong leadership, communication, and understanding of trading systems are essential skills for this role.

What is the difference between Manager Algorithmic Trading Quant vs Quantitative Trader?

AspectManager Algorithmic Trading QuantQuantitative Trader
Primary RoleOversees trading strategies, manages teams, and develops high-level algorithmsExecutes trading strategies, analyzes markets, and implements models
ResponsibilitiesStrategy development, team leadership, risk managementMarket analysis, trade execution, model testing
CredentialsAdvanced degrees in finance, math, or computer science; experience in tradingDegree in finance, math, or related fields; strong quantitative skills
Work EnvironmentFinancial firms, hedge funds, trading desksTrading floors, financial institutions, hedge funds

The Manager Algorithmic Trading Quant focuses on leading teams and developing high-level trading algorithms, while the Quantitative Trader primarily executes trades and analyzes markets. Both roles require strong quantitative skills and relevant credentials, but differ in responsibilities and leadership scope.

What do you mean by a manager?

A manager in the context of a Manager Algorithmic Trading Quant oversees trading strategies, manages a team of quantitative analysts, and ensures the implementation of algorithms that optimize trading performance. They typically have strong skills in programming, finance, and data analysis, and may use tools like Python, C++, or trading platforms. The role involves leadership, strategic planning, and risk management within a trading environment.

What is the definition of a manager?

A manager is a professional responsible for overseeing a team or department, coordinating activities, and ensuring goals are met. In the context of a Manager Algorithmic Trading Quant, this role involves leading trading strategies, managing quantitative analysts, and utilizing programming and data analysis skills to optimize trading performance.
What are the most commonly searched types of Algorithmic Trading Quant jobs in Georgia? The most popular types of Algorithmic Trading Quant jobs in Georgia are:
What are popular job titles related to Manager Algorithmic Trading Quant jobs in Georgia? For Manager Algorithmic Trading Quant jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Manager Algorithmic Trading Quant jobs in Georgia look for? The top searched job categories for Manager Algorithmic Trading Quant jobs in Georgia are:
What cities in Georgia are hiring for Manager Algorithmic Trading Quant jobs? Cities in Georgia with the most Manager Algorithmic Trading Quant job openings:
Infographic showing various Manager Algorithmic Trading Quant job openings in Georgia as of June 2026, with employment types broken down into 1% Locum Tenens, 56% As Needed, 35% Full Time, 7% Part Time, and 1% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.
Data Scientist - Specialist

Data Scientist - Specialist

Equifax, Inc.

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 29 days ago


Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax Enterprise Innovation Office is seeking a Data Scientist who can integrate diverse big data assets into analytical solutions under management guidance to solve difficult business problems. With a strong heritage of innovation and leadership, we leverage our unique data, advanced analytics and proprietary technology to enrich the performance of businesses and the lives of consumers.
Qualified candidates will have a passion for mathematics, statistics, AI/Machine learning, data gathering, and experience in financial modeling. The ideal candidate will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, and to push the boundaries of what is possible with big data analytics/modeling. The ideal candidate will be passionate about exploring why and how models/techniques work and has a deep desire to explain the unexplainable.
Equifax has a hybrid work schedule that allows for two days of remote work (Monday and Friday) with 3 days onsite (Tuesday thru Thursday) every week.
This role reports to our office Alpharetta, GA or our Midtown (OAC, Atlanta) office.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
This is a direct-hire role and is not open to C2C or vendors.
What you'll do
  • Be an integral part of the Data Science Lab team that works closely with internal clients in all phases of prototype development and deployment
  • Research innovative data solutions (in distributed cloud computing constrained and unconstrained optimization) to solve real market problems
  • Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative product development
  • Work with key stakeholders and understand their needs to develop advanced solutions or improve existing solutions around big data and advanced analytics
  • Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
  • Utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects
  • Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Lead the analytical strategy on critical technical capabilities
  • Perform as lead technical data scientist for multiple technical and business domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions and asking questions
  • Evaluate the technical work of experienced data scientists guiding them on deliverable quality and accuracy

What experience you need
  • Master's degree or higher in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field, PhD preferred
  • 7-10 years of experience in a related role, with experience demonstrating leadership capabilities
  • 5+ years experience applying predictive analytics and modeling to solve business problems
  • 5+ years of experience with Python, Tensorflow, SQL (strong skills and scripting experience), and Spark with advanced experience in data manipulation libraries (e.g., Pandas, Dask, Spark DataFrames)
  • Theoretical and practical understanding of algorithm time and space complexity, and a proven ability to apply this knowledge to develop efficient and scalable data science solutions
  • Excellent problem-solving skills, with the ability to navigate ambiguity and deliver results in a fast-paced environment

What could set you apart
  • 1+ years Experience managing teams of at least two employees
  • Experience with large-scale data processing in distributed environments
  • Strong communication skills of analytical results to technical and non-technical audiences alike
  • Experience working on big data platforms (e.g., Google Cloud, AWS, Snowflake, Hadoop) a plus
  • Extensive experience with NLP (Natural Language Processing), LLMs (Large Language Models) and/or Generative AI
  • Agile development including Scrum
  • Ph.D. degree in mathematics, statistics, computer science, or related quantitative field

#LI-AM2
#LI-Hybrid
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta JV White
USA-Atlanta-One-Atlantic-Center
Function:
Function - Data and Analytics
Schedule:
Full time

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Benefits

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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