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Banking Financial Statistician Jobs (NOW HIRING)

ProSidian Consulting

Statistician

Charlotte, NC

... Banking & Financial Services, Transportation, Federal and State Government Agencies. Learn More About ProSidian Consulting at www.ProSidian.com. ProSidian Seeks a Statistician (Contract Contingent ...

First Citizens Bank

Business Data Analyst III

Carolina, RI · Remote

$99K - $132K/yr

... in Banking, financial or other directly related industry Preferred Area of Study: Mathematics, statistics, computer science, information management Preferred Skills: * Spreadsheet and database ...

First Citizens Bank

Business Data Analyst III

Carolina, RI · Remote

$99K - $132K/yr

... in Banking, financial or other directly related industry Preferred Area of Study: Mathematics, statistics, computer science, information management Preferred Skills: * Spreadsheet and database ...

Frost Bank

Model Validation Analyst II

San Antonio, TX

... banking services. Who you are: As a Model Validation Analyst II with Frost, you are our monitor. In ... Perform independent validations of financial, statistical, and behavioral models commensurate with ...

California Coast Credit

Financial Analyst

San Diego, CA · On-site

$70K - $84K/yr

... statistical and other reports, including bi-weekly ALSC report packages, monthly financial statements and report packages for management and the Board of Directors, quarterly Federal Home Loan Bank ...

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Banking Financial Statistician information

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$50.5K

$86.9K

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How much do banking financial statistician jobs pay per year?

As of Aug 14, 2026, the average yearly pay for banking financial statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 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.
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Banking Financial Statistician jobs near you
Infographic showing various Banking Financial Statistician job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, and 7% Temporary. Highlights an 100% In-person job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Sales Director - Banking & Financial Services

Tiger Analytics Inc.

New York, NY • On-site

Full-time

Posted 11 hours ago

Posted today

Job description

Tiger Analytics is looking for a Sales Director – Banking & Financial Services to join our fast-growing AI/Advanced Analytics consulting firm. We are the trusted AI Partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. Based in the New York/New Jersey area, the Sales Director will be an integral part of the Sales Team and reporting directly to the Chief Sales Officer, play a fundamental role in driving our client acquisition and revenue growth in the Banking & Financial Services (BFS) sector.

The Sales Director will be responsible for:

  • First impressions with C-level executives, SVP/VPs, and Managing Directors across Retail/Commercial Banking, Wealth Management, Risk & Compliance, and Enterprise Data & AI in top financial institutions.
  • Strategic partnerships with major cloud ecosystem and platform leaders (e.g., AWS, Azure, GCP, Databricks, Snowflake)
  • Experience in Sales in the US/Canada market
  • High-impact presentations and tailored solution pitches showcasing AI, Generative AI, Risk/Fraud Analytics, and Data Platform Modernization capabilities.
  • Active participation at relevant industry conferences (e.g., Money20/20, Sibos, ABA Financial Technology Summit), executive roundtables, and regional BFS events.
  • Generation of qualified leads and transitioning those leads to multi-million-dollar long-term accounts across banks, fintechs, asset managers, and financial services providers.

Requirements

  • 12+ years of experience in client-facing sales, account management, or business development roles within technology consulting and data/AI services.
  • Bachelor’s Degree, preferably in Finance, Economics, Engineering, Math, Statistics, or a related quantitative discipline; Master’s Degree or MBA a plus.
  • Deep expertise selling Analytics, Big Data, Cloud, and AI solutions specifically into US Fortune 500 Banking, Financial Services, or Fintech enterprise clients (revenues > $1 billion).
  • Industry focus in Banking & Financial Services domains: Commercial & Retail Banking, Credit Risk Modeling, Anti-Money Laundering (AML)/Fraud Detection, Wealth & Asset Management, Capital Markets, and Customer 360/Personalization.
  • Strong understanding of modern financial data architectures, governance, regulatory expectations (e.g., CCAR, CECL, BCBS 239), and enterprise security frameworks.
  • Ability to navigate complex banking organizational hierarchies, procurement cycles, and vendor risk management assessments.
  • Excellent relationship-building and management skills with senior business and technology stakeholders up to the C-suite.
  • Results-oriented, innovative, and energetic team player with an entrepreneurial mindset and extreme accountability for revenue targets.
  • Outstanding verbal and written communication and presentation skills tailored for executive audiences.
  • Willingness to travel across major North American hubs as needed to drive client relationships.
  • Cross-cultural and onshore-offshore delivery model experience working with globally distributed presales, domain, and delivery teams.
  • Prior experience with CRM tools (e.g., Salesforce, ZohoCRM, HubSpot).

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.