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Junior Quant Developer Jobs in Tennessee (NOW HIRING)

As a Senior Associate, you will analyze complex problems, mentor junior team members, and build ... Statistics, or a related quantitative field - At least 3 years of professional experience ...

Langan provides expert land development engineering and environmental consulting services for major ... Provide direct oversight and management of junior staff for specific project assignments. Coach ...

Langan provides expert land development engineering and environmental consulting services for major ... Provide direct oversight and management of junior staff for specific project assignments. Coach ...

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto ... Identify and act on unspoken client needs through qualitative and quantitative analysis; produce ...

... junior staff * Master's degree from a science, technology, engineering, or mathematics-designated ... Performing assessments using quantitative and qualitative techniques, including AI-enabled ...

... junior staff * Master's degree from a science, technology, engineering, or mathematics-designated ... Performing assessments using quantitative and qualitative techniques, including AI-enabled ...

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Junior Quant Developer information

See Tennessee salary details

$55.4K

$97K

$146.1K

How much do junior quant developer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for junior quant developer in Tennessee is $96,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $96,700.00 per year, depending on experience, location, and employer.

What is a Junior Quant Developer job?

A Junior Quant Developer is an entry-level role that combines software development with quantitative analysis in the finance industry. They assist in building and maintaining financial models, trading algorithms, and risk management tools. Typically, they work with programming languages like Python, C++, or Java and utilize mathematical and statistical techniques. Their responsibilities often involve data analysis, backtesting strategies, and optimizing trading systems. This role serves as a stepping stone toward becoming a full-fledged Quant Developer or Quantitative Analyst.

What are the key skills and qualifications needed to thrive in the Junior Quant Developer position, and why are they important?

To thrive as a Junior Quant Developer, you need strong programming skills (usually in Python, C++, or Java), foundational knowledge in mathematics and statistics, and a relevant degree in fields like computer science, mathematics, or engineering. Familiarity with quantitative libraries, financial modeling tools, and version control systems such as Git is often expected. Analytical thinking, teamwork, and effective communication are important soft skills for collaborating with senior developers and traders. These skills are essential for building robust quantitative models, contributing to complex projects, and growing within a fast-paced financial technology environment.

What kinds of projects and tasks can a Junior Quant Developer expect to work on?

As a Junior Quant Developer, you can expect to assist with developing, testing, and optimizing quantitative models used for trading or risk assessment. Your day-to-day tasks may involve coding algorithms, analyzing large datasets, backtesting strategies, and debugging model performance, all under the guidance of more experienced team members. You’ll also have opportunities to work closely with traders, data scientists, and senior quants, contributing to both research initiatives and real-time trading systems. This collaborative environment provides excellent learning opportunities and valuable exposure to different aspects of quantitative finance, helping you build expertise for career growth.

What are the most commonly searched types of Quant Developer jobs in Tennessee? The most popular types of Quant Developer jobs in Tennessee are:
What are popular job titles related to Junior Quant Developer jobs in Tennessee? For Junior Quant Developer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Junior Quant Developer jobs in Tennessee look for? The top searched job categories for Junior Quant Developer jobs in Tennessee are:

Lead Generative AI Data Engineer III

Deloitte

Nashville, TN

$99K - $130K/yr

Other

Re-posted 13 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

56th of 150 rated financial services


Job description


Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead AI and Data Science Engineer II on the team, you will be responsible for:

  • Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
  • Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
  • Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
  • Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.
Skills for Success
  • Ability to work independently and collaborate as part of a team.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Ability to lead projects or workstreams.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to mentor and provide clear guidance to others.
The Team

Deloitte's Government & Public Services (GPS) practice-our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 7+ years of professional experience.
  • 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
  • 3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow.
  • 2+ years of technology consulting experience in the State Government or Local Government space.
  • 2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
  • 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
  • Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Active US Government security clearance.
  • 2+ years of experience deploying machine learning models into production environments.
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions.
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes.
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes.

The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.

At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,100 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead AI and Data Science Engineer II on the team, you will be responsible for:

  • Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
  • Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
  • Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
  • Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.
Skills for Success
  • Ability to work independently and collaborate as part of a team.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Ability to lead projects or workstreams.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to mentor and provide clear guidance to others.
The Team

Deloitte's Government & Public Services (GPS) practice-our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 7+ years of professional experience.
  • 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
  • 3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow.
  • 2+ years of technology consulting experience in the State Government or Local Government space.
  • 2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
  • 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
  • Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Active US Government security clearance.
  • 2+ years of experience deploying machine learning models into production environments.
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions.
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes.
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes.

The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.

At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,100 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Education:Bachelor's DegreeEmployment Type:

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