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Banking Financial Statistician Jobs in Decatur, GA

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... This role leverages strong mathematical, statistical, and programming skills to analyze historical ...

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... This role leverages strong mathematical, statistical, and programming skills to analyze historical ...

Bank is on a journey to help customers and businesses make smarter financial decisions. The ... Required : • Bachelor's degree in a quantitative field such as statistics, computer science ...

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Interprets data and analyze results using various statistical techniques and tools Basic ...

Leadership, mentoring and growth of more junior members of the Banking, Insurance and Capital ... Developing, performing, and supervising detailed financial, economic and statistical analysis. What ...

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Banking Financial Statistician information

See Decatur, GA salary details

$49.3K

$84.9K

$113.7K

How much do banking financial statistician jobs pay per year?

As of Jun 9, 2026, the average yearly pay for banking financial statistician in Decatur, GA is $84,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $96,200.00 per year, depending on experience, location, and employer.

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.

What are Banking Financial Statisticians?

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 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 are the key skills and qualifications needed to thrive as a Banking Financial Statistician, and why are they important?

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 popular job titles related to Banking Financial Statistician jobs in Decatur, GA? For Banking Financial Statistician jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Banking Financial Statistician jobs in Decatur, GA look for? The top searched job categories for Banking Financial Statistician jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Banking Financial Statistician jobs? Cities near Decatur, GA with the most Banking Financial Statistician job openings:
Infographic showing various Banking Financial Statistician job openings in Decatur, GA as of June 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 $84,864 per year, or $40.8 per hour.
Senior Manager Quantitative Analysis--Consumer Model Development

Senior Manager Quantitative Analysis--Consumer Model Development

First Citizens Bank

Atlanta, GA • Hybrid

Full-time

Posted 5 days ago


First Citizens Bank rating

7.6

Company rating: 7.6 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

79th of 141 rated banks


Job description

Overview

This is a hybrid role (if located in Atlanta, GA, Charlotte, NC or Raleigh, NC ) with the expectation that time working will regularly take place inside and outside of a company office. Three days a week in office. Open to remote in several markets for highly qualified candidate.

The Manager of Consumer Model development will lead a team of quantitative risk analysts responsible for developing, implementing, and maintaining credit risk models for the bank's consumer lending portfolio. This role serves as the tactical leader bridging strategy and execution, reporting directly to the Director of Risk Analytics & Modeling while providing hands-on leadership to junior team members. The position requires strong technical expertise combined with people management skills to ensure effective delivery of risk modeling solutions.


Responsibilities
  • Support the Director and lead the development, testing, and implementation of advanced credit risk models across consumer lending products including Credit Cards, and Auto Loans, Mortgages, and HELOCs, with focus on Credit Card and Auto portfolios.
  •  Execute the model development plan and ensure proper delivery. Serve as the owner of model documentation, and development and testing materials.
  •  Lead and mentor a team of model development professionals, fostering a culture of innovation and continuous improvement in risk modeling approaches.
  •  Oversee the model ongoing monitoring program. Review the monitoring results and explain the model performance to model users and management.
  •  Support the Director in response to model validation findings and oversee the implementation of remediation. 
  •  Collaborate with other modeling and analytical teams to continuously improve the process and gain efficiency. Drive the enhancement of risk management frameworks to meet evolving regulatory requirements, including CCAR and CECL compliance.
  •  Support the Director and partner with business leadership to translate complex risk analytics insights into actionable business strategies and policy recommendations.
  •  Establish and maintain relationships with regulatory bodies, external/internal auditors, model Risk Management and key stakeholders.
  •  Guide the development and implementation of new risk assessment methodologies and tools to improve the organization's risk management capabilities.
  •  Lead strategic initiatives to modernize risk analytics infrastructure and capabilities through adoption of advanced technologies and methodologies, including AI and other intelligent tools.

Qualifications

Bachelor's Degree and 6 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience OR High School Diploma or GED and 10 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience

Preferred Education: advanced degree, masters/PHD in quantitative field, ie mathematics, computer science, financial engineering

Preferred Area of Study: Quantitative or Statistical Analysis, Financial Engineering, Computer Science, Mathematics

Preferred Area of Experience: Banking, Financial Engineering, Computer Science

Preferred Qualifications:


• Ph.D. degree in Statistics, Mathematics, Finance, or related quantitative field
• At least 10 years of progressive experience in credit risk model development, with at least 3 years in a leadership role
• At least 3 years hands on experience in Credit Card loss forecasting model development or validation
• Hands on experience using Python, SAS, Tableau
• Hands on experience in model development and model development documentation
• Demonstrated experience in leading teams responsible for development and implementation of enterprise-wide risk models
• Strong understanding of regulatory requirements and experience in interactions with regulatory bodies
• Experience with CCAR and CECL
• Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies
• Proven track record of translating complex analytical insights into actionable strategy

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

#LI-Hybrid

Qualifications:

Bachelor's Degree and 6 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience OR High School Diploma or GED and 10 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience

Preferred Education: advanced degree, masters/PHD in quantitative field, ie mathematics, computer science, financial engineering

Preferred Area of Study: Quantitative or Statistical Analysis, Financial Engineering, Computer Science, Mathematics

Preferred Area of Experience: Banking, Financial Engineering, Computer Science

Preferred Qualifications:


• Ph.D. degree in Statistics, Mathematics, Finance, or related quantitative field
• At least 10 years of progressive experience in credit risk model development, with at least 3 years in a leadership role
• At least 3 years hands on experience in Credit Card loss forecasting model development or validation
• Hands on experience using Python, SAS, Tableau
• Hands on experience in model development and model development documentation
• Demonstrated experience in leading teams responsible for development and implementation of enterprise-wide risk models
• Strong understanding of regulatory requirements and experience in interactions with regulatory bodies
• Experience with CCAR and CECL
• Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies
• Proven track record of translating complex analytical insights into actionable strategy

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

#LI-Hybrid

Education:UNAVAILABLEEmployment Type: FULL_TIME

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