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Senior Quantitative Developer Jobs in Florence, KY

Keybank

Quant Analytics Mgr.

Cincinnati, OH · On-site

Projects undertaken by the Senior Quantitative Analytics Associate are often broad in scope across ... Master's degree (or tis equivalent) in statistics, mathematics, economics, financial engineering ...

Roadpass Digital

Senior AI/ML Engineer

Cincinnati, OH · On-site +1

$100K - $137K/yr

The Senior AI/ML Engineer applies deep expertise in machine learning, applied AI, and creative ... Degree in a quantitative field (e.g., Economics, Statistics, Computer Science, Engineering ...

Roadpass Digital

Senior AI/ML Engineer

Cincinnati, OH · Remote

$107K - $146K/yr

The Senior AI/ML Engineer applies deep expertise in machine learning, applied AI, and creative ... Degree in a quantitative field (e.g., Economics, Statistics, Computer Science, Engineering ...

Circle

Senior Analyst, AML Know Your Customer

Florence, IN · On-site +1

$97K - $127K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... S. degree; quantitative or technical degree a plus. * 4+ years of relevant experience in AML and ...

Kiva Design

Data Analyst

Cincinnati, OH

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Job Requirements Senior: * BS degree in Admin or Bachelor's degree in a design related field from ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Job Requirements Senior: * BS degree in Admin or Bachelor's degree in a design related field from ...

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All JobsQuantitative Developer JobsSenior Quantitative Developer JobsSenior Quantitative Developer Jobs in Florence, KY

Senior Quantitative Developer information

What is a senior quantitative developer?

A Senior Quantitative Developer is an experienced professional who combines advanced programming skills with deep knowledge of mathematical and statistical modeling to design, implement, and optimize complex financial algorithms and trading systems. They work closely with quantitative analysts and traders to translate mathematical models into efficient, production-ready code, often focusing on areas such as risk management, pricing, and market data analysis. In addition to strong coding abilities, typically in languages like C++, Python, or Java, they are expected to have expertise in financial markets, data structures, and performance optimization. Senior Quantitative Developers often mentor junior team members and contribute to the strategic direction of technology and model development within their firm.

What are the key skills and qualifications needed to thrive as a senior quantitative developer?

To thrive as a Senior Quantitative Developer, you need a strong background in mathematics, statistics, computer science, and financial theory, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages such as Python, C++, or Java, and experience using quantitative libraries, databases, and version control systems are essential, alongside knowledge of relevant industry tools like MATLAB or R. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills for this role. These abilities enable effective development and implementation of quantitative models, ensuring robust financial analysis and supporting critical business decisions.

How does a senior quantitative developer typically collaborate with quantitative researchers and traders?

A Senior Quantitative Developer works closely with quantitative researchers to translate their mathematical models into robust, production-ready code. They also partner with traders to understand their workflow needs and ensure that trading systems are reliable, efficient, and responsive to market conditions. Effective communication is key, as the developer must bridge the gap between research insights and operational trading platforms. This collaboration often involves iterative feedback, rapid prototyping, and ongoing support to adapt systems to new strategies or market data.

What is the difference between Senior Quantitative Developer vs Quantitative Analyst?

AspectSenior Quantitative DeveloperQuantitative Analyst
Required CredentialsAdvanced degrees in math, finance, or computer science; programming skillsSimilar educational background; strong analytical skills
Work EnvironmentDevelops trading algorithms, implements models, collaborates with tech teamsPerforms data analysis, risk assessment, supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksAsset management firms, hedge funds, banks

The main difference is that Senior Quantitative Developers focus on building and implementing trading models and software, while Quantitative Analysts primarily analyze data and develop trading strategies. Both roles require strong quantitative skills, but the developer role emphasizes programming and system development, whereas analysts focus more on data analysis and research.

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For Senior Quantitative Developer jobs in Florence, KY, the most frequently searched job titles are:

What job categories do people searching Senior Quantitative Developer jobs in Florence, KY look for?

The top searched job categories for Senior Quantitative Developer jobs in Florence, KY are:

What cities near Florence, KY are hiring for Senior Quantitative Developer jobs?

Cities near Florence, KY with the most Senior Quantitative Developer job openings:

Senior Quantitative Developer jobs near you
Infographic showing various Senior Quantitative Developer job openings in Florence, KY as of August 2026, with employment types broken down into 79% Full Time, 6% Part Time, 14% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Sr. Quantitative Model Analyst

Federal Home Loan Bank Cincinnati

Cincinnati, OH • On-site

Full-time

Re-posted 27 days ago

Job description

Sr. Quantitative Model Analyst
General Summary:
Independentlyleads and assists activities related to managing and mitigating model risks, byindependently performing validations, monitoring governance, and providingguidance and expertise related to models used by the Bank. The Senior Analystcollaborates with various stakeholders to ensure the accuracy, reliability, andregulatory compliance of models used for pricing, risk measurement, anddecision-making processes.
Principal Duties andResponsibilities:
  • Model Validation and Governance: Independently perform validation and governance efforts related to Bank models. Conduct comprehensive assessments of model accuracy, reliability, and robustness. Independently perform model validation activities, including reviewing model assumptions, methodologies, and implementation. Identify limitations, weaknesses, or gaps in models and propose enhancements or alternative approaches.
  • Model Risk Management Framework: Contribute to the development and enhancement of the bank's model risk management framework, policies, and procedures. Support the implementation and management of model risk management processes, including model inventory, model change management, and ongoing model monitoring.
  • Regulatory Compliance: Coordinate with key stakeholders to ensure compliance with regulatory model risk requirements (FHFA AB 2013-07; FHFA AB 2022-03).
  • Risk Identification and Measurement: Identify and assess the risks associated with financial models, including model errors, biases, and limitations.
  • Model Documentation and Reporting: Prepare comprehensive model validation reports, documenting the validation process, findings, and recommendations.
  • Collaboration and Leadership: Collaborate with key stakeholders to provide guidance and expertise in support of a sound model risk management environment at the Bank. Provide guidance and mentorship to junior members of the model risk management team.
  • Continuous Improvement and Innovation: Stay abreast of emerging trends, industry best practices, and technological advancements in model risk management. Identify opportunities for process optimization, automation, and efficiency gains within the model risk management function and ERM department.
  • Performs additional duties as requested by management.

Minimum Knowledge,Skills and Abilities Required:
  • Knowledge at a level normally acquired through the completion of a Master's Degree in finance, economics, mathematics, statistics, or financial engineering or equivalent work experience with financial, statistical, market risk, or credit risk models. A Ph.D. in a relevant discipline is a plus.
  • At least seven years' experience in model validation and/or model development at a financial institution, rating agency, regulatory agency, or as a financial industry consultant.
  • Strong understanding of financial models and their application in areas such as pricing, risk measurement, and decision-making. Knowledge of various model types, including credit risk, market risk, and liquidity risk models.
  • Knowledge of regulatory guidelines and industry standards for model risk management, such as AB 2013-07, SR 11-7, and OCC Bulletin 2011-12, is highly desirable.
  • Proficiency in programming languages such as Python, R, or MATLAB, with experience in data manipulation, statistical analysis, and model development.
  • Advanced/Intermediate Microsoft Office skills (particularly Excel and Word)
  • Strong analytical and problem-solving skills, with the ability to critically evaluate complex models and identify potential risks.
  • Excellent written and verbal communication skills, with the ability to convey technical concepts and validation results to both technical and non-technical audiences.
  • Detail-oriented with strong organizational skills, able to manage multiple projects simultaneously and meet deadlines.
  • Ability to work collaboratively within a team environment and build effective working relationships with stakeholders at various levels.
  • Demonstrates interest in working with a variety of backgrounds and perspectives that align with the Bank's core value.
  • Promotes an environment of empathy and respect to ensure the inclusion of all team members.

Working Conditions:
Flexibilityto work outside normal business hours if required to complete time sensitiveprojects. Requires close attention to detail to ensure the accuracy andintegrity of information supplied to senior management and members.

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