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Banking Financial Statistician Jobs in Decatur, GA

AVP, Model Validation

Alpharetta, GA · On-site

$100K - $170K/yr

... financial services, banking, or retail. * 4+ years of hands-on and proven experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, Data Lake, H2O, SageMaker and AWS ...

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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 Aug 14, 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 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 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?

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 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:

Data Scientist with Banking & Finance Experience

Cortex consultants LLC

Atlanta, GA • On-site

Contractor

Re-posted 3 days ago


Job description

Title: Data Scientist with Banking & Finance Experience
Location: Atlanta, GA
Work Mode: Hybrid ( 3 days from office) (T, W, T)
Over all Years of experience: Min 12+Years
Must have:
  • Python
  • Jupyter
  • TensorFlow
  • Keras
  • ScikitLearn
Experience needed
  • BS degree in a STEM major or equivalent discipline
  • 7-8 years of experience in a related analytical role
  • Overall 12+ Years of experience
  • Proven track record of designing and developing predictive models in real-world applications, preferably Banking and Finance domain
  • Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
Good to have experience
  • Cloud certification strongly preferred
  • Additional role-based certifications may be required depending upon region/BU requirement
  • Passion for data science, data mining, machine learning and experience with big data architectures and methods
  • Past Experience in SAS or Operations Research models
Roles and Responsibility
  • Entity Resolution and Innovation, manipulate large data sets,
  • Integrate diverse data sources, data types and data structures into solutions under management guidance.
  • Analytical approaches to meet business requirements and
  • explore integrating AI methodologies within Entity Resolution System, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
  • Qualification
  • Proven track record of designing and developing predictive models in real-world applications
  • Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
  • Additional role-based certifications may be required depending upon region/BU requirements
  • Passion for data science, data mining, machine learning and experience with big data architectures and methods
  • A master's degree in a quantitative field (Statistics, Mathematics, Economics)
Responsibilities
  • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
  • Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise
  • Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities
  • Lead the development or projects with multiple deliverables, leveraging business and technical expertise
  • Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
  • Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
  • Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
  • Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy