ZipRecruiter

Log In

1

Banking Financial Statistician Jobs in Cold Spring, KY

Fhlbcin

Sr. Quantitative Model Analyst

Cincinnati, OH · On-site

$120 - $160/hr

... statistics, or financial engineering or equivalent work experience with financial, statistical ... with the Bank's core value. * Promotes an environment of empathy and respect to ensure the ...

Mayfield Brain & Spine

Senior Accountant

Cincinnati, OH · On-site

$71K - $89K/yr

... and financial & statistical analyses, as needed. * Assist with information requirements for the outside auditors. * Maintain fixed asset accounting and sub-ledger. * Review daily online banking ...

Mayfield Brain and Spine

Senior Accountant

Cincinnati, OH · On-site

$71K - $89K/yr

... and financial & statistical analyses, as needed. * Assist with information requirements for the outside auditors. * Maintain fixed asset accounting and sub-ledger. * Review daily online banking ...

Mayfield Brain and Spine

Senior Accountant

Cincinnati, OH

$71K - $89K/yr

... and financial & statistical analyses, as needed. * Assist with information requirements for the outside auditors. * Maintain fixed asset accounting and sub-ledger. * Review daily online banking ...

Mayfield Clinic, Inc.

Senior Accountant

Cincinnati, OH · On-site

$70 - $100/hr

... and financial & statistical analyses, as needed. * Assist with information requirements for the outside auditors. * Maintain fixed asset accounting and sub-ledger. * Review daily online banking ...

Deloitte

Financial Risk Senior Consultant

Cincinnati, OH · On-site

$111K/yr

Bachelor's degree in Finance, Economics, Business, Statistics, Mathematics, or related field * 4+ ... Experience in banking, digital assets, or capital markets is desirable * Demonstrated relationship ...

next page

Showing results 1-20

All JobsBanking Financial Statistician JobsBanking Financial Statistician Jobs in Cold Spring, KY

Banking Financial Statistician information

See Cold Spring, KY salary details

$49.1K

$84.5K

$113.3K

How much do banking financial statistician jobs pay per year?

As of Sep 6, 2026, the average yearly pay for banking financial statistician in Cold Spring, KY is $84,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $95,800.00 per year, depending on experience, location, and employer.

What is a banking financial statistician?

Banking Financial Statisticians are professionals who analyze financial data, trends, and risks within banking institutions using statistical methods and models. They help banks make informed decisions about lending, investment, and risk management by interpreting complex datasets. Their work supports regulatory compliance, financial forecasting, and the development of new financial products. By providing insights based on data analysis, they play a crucial role in optimizing a bank’s financial strategies and ensuring stability.

What are the key skills and qualifications needed to thrive as a banking financial statistician?

To thrive as a Banking Financial Statistician, you need a strong background in statistics, mathematics, and finance, typically supported by a degree in statistics, economics, or a related field. Familiarity with statistical analysis software (such as SAS, R, or Python), financial modeling tools, and knowledge of regulatory frameworks are essential. Analytical thinking, attention to detail, and effective communication skills help professionals interpret complex data and convey insights clearly to stakeholders. These skills ensure accurate financial analysis, effective risk management, and informed decision-making in the banking sector.

What are some common challenges faced by banking financial statisticians when analyzing large financial datasets?

Banking Financial Statisticians often encounter challenges such as ensuring data accuracy and consistency when working with vast, complex financial datasets from multiple sources. Data can be incomplete, duplicated, or contain errors, requiring careful cleaning and validation before analysis. Additionally, statisticians must stay updated with regulatory requirements and use advanced statistical methods to detect patterns, assess risks, and support decision-making. Collaborating closely with IT, risk management, and business teams is essential to translate statistical findings into actionable insights for the bank.

What is the difference between Banking Financial Statistician vs Banking Financial Analyst?

AspectBanking Financial StatisticianBanking Financial Analyst
Required CredentialsDegree in Finance, Economics, or Statistics; often certifications like CFA or FRMDegree in Finance, Economics, or related field; CFA certification common
Work EnvironmentResearch-focused, data analysis, modeling in banks or financial institutionsMarket analysis, financial modeling, investment recommendations
Employer & Industry UsagePrimarily in banks, financial institutions, and risk management firmsIn banks, investment firms, and asset management companies

Both roles involve financial data analysis, but Banking Financial Statisticians focus more on statistical modeling and risk assessment, while Banking Financial Analysts concentrate on market trends and investment strategies. The roles often overlap but serve different primary functions within financial institutions.

Banking Financial Statistician jobs near you
Infographic showing various Banking Financial Statistician job openings in Cold Spring, KY as of August 2026, with employment types broken down into 94% Full Time, and 6% Temporary. Highlights an 100% In-person job distribution, with an average salary of $84,498 per year, or $40.6 per hour.

Sr. Quantitative Model Analyst

Federal Home Loan Bank Cincinnati

Cincinnati, OH • On-site

Full-time

Re-posted 2 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.

Apply