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Bank Python Jobs in Reisterstown, MD (NOW HIRING)

Java or Python * AWS experience * Git * A solid foundation in computer science, with strong ... Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the ...

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Bank Python information

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$12

$54

$80

How much do bank python jobs pay per hour?

As of May 29, 2026, the average hourly pay for bank python in Reisterstown, MD is $54.73, according to ZipRecruiter salary data. Most workers in this role earn between $45.10 and $62.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bank Python Developer, and why are they important?

To thrive as a Bank Python Developer, you need strong programming skills in Python, expertise in financial data analysis, and a relevant degree in computer science or a related field. Familiarity with SQL databases, version control systems like Git, and experience with financial software or regulatory compliance tools are typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills that help in collaborating with cross-functional teams and ensuring accuracy. These skills and qualities are crucial to efficiently develop reliable banking applications, maintain system integrity, and adapt to the fast-evolving financial technology landscape.

How do Python developers in banking typically collaborate with other teams, such as risk management or data analysis?

Python developers in banking frequently work in cross-functional teams, collaborating closely with professionals from risk management, data analysis, and operations. They often translate complex business requirements into efficient, automated solutions, such as risk assessment models or data pipelines. Regular meetings, code reviews, and joint project planning are common practices to ensure alignment and compliance with regulatory standards. This collaborative environment not only enhances the quality of deliverables but also provides developers with a broader understanding of banking operations.

What is a Bank Python?

A Bank Python is not a recognized job title within the banking or technology industries. It may refer to a Python developer working in a bank, responsible for building, maintaining, or automating financial applications using the Python programming language. These professionals help streamline banking operations, develop algorithms for financial analysis, and ensure secure data processing. Their work is crucial for enhancing efficiency and accuracy in banking systems.

What is the difference between Bank Python vs Bank Data Analyst?

AspectBank PythonBank Data Analyst
Required CredentialsPython programming skills, possibly certifications in data analysis or programmingDegree in finance, economics, or data analysis; certifications like CFA or data analytics certifications
Work EnvironmentTech-focused teams within banks, working on automation, data processing, and software developmentFinancial institutions, analyzing data to inform business decisions, reporting, and risk assessment
Industry UsageUsed for automating banking processes, developing financial models, and data managementUsed for interpreting financial data, creating reports, and supporting strategic decisions

Bank Python professionals focus on programming and automation within banking systems, while Bank Data Analysts interpret financial data to guide business strategies. Both roles are vital in modern banking but differ in skill sets and daily tasks.

What job categories do people searching Bank Python jobs in Reisterstown, MD look for? The top searched job categories for Bank Python jobs in Reisterstown, MD are:
Senior Quantitative Marketing Analyst (Customer Insights & Analytics)

Senior Quantitative Marketing Analyst (Customer Insights & Analytics)

M&T Bank

Baltimore, MD • On-site

$113.30K - $188.80K/yr

Full-time

Posted 15 days ago


M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

66th of 141 rated banks


Job description

OVERVIEW:
Senior Quantitative Marketing Analyst role is part of M&T's Customer Insights & Analytics Organization.
Apply advanced statistical techniques to evaluate marketing channel performance, customer behavior, and digital campaign effectiveness, and develop materials that clearly communicate impact to business and marketing stakeholders.
LOCATION:
This role follows a hybrid work model, requiring onsite presence four days per week at one of M&T Bank's regional offices. Candidates must reside within a reasonable commuting distance to one of the following locations:
  • 345 Main Street, Buffalo, NY
  • 115 Federal Street, Boston, MA
  • 1 Light Street, Baltimore, MD
  • 1350 I Street NW, Washington, DC
  • 1100 North Market Street, Wilmington, DE
  • 277 Park Avenue, New York, NY
  • 850 Main Street, Bridgeport, CT
  • 77 Pine Street, Burlington, VT

SCOPE:
Responsible for delivering advanced marketing analytics to drive customer acquisition, engagement, and revenue growth across digital and sales/branch channels within Consumer Banking. This role leverages complex data sources to evaluate campaign performance, optimize targeting strategies, and quantify marketing ROI, while partnering closely with Digital Marketing, Retail/Branch Banking, and Product teams. The position translates data into actionable insights and executive-level storytelling, supports data-driven decision-making, and ensures all analytics adhere to regulatory, risk, and governance standards within the financial services environment.
POSITION RESPONSIBILITIES:
  • Leverage large, complex datasets across digital, CRM, and sales channels to generate actionable insights that inform marketing strategy, customer acquisition, and cross-sell/upsell performance within consumer banking
  • Perform quantitative and statistical analyses (e.g., A/B testing, attribution analysis, segmentation, propensity modeling) to measure marketing ROI and improve targeting strategies
  • Analyze and optimize performance of digital marketing campaigns (e.g., paid media, email, web, mobile) and branch/sales associate-led marketing efforts; identify trends, anomalies, and drivers of performance across customer segments and channels
  • Support and mentor junior analysts by providing guidance on analytical approaches, coding best practices, and effective communication of insights
  • Develop and enhance dashboards and reporting solutions in partnership with Marketing teams, delivering intuitive views of marketing performance, KPIs, and customer insights for stakeholders
  • Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management
  • Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis. Identify risk-related issues needing escalation to management.
  • Promote an environment that supports belonging and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.

MANAGERIAL/SUPERVISORY RESPONSIBILITY:
No supervisory responsibility.
MINIMUM QUALIFICATIONS REQUIRED:
  • Bachelor's degree and a minimum of 5 years of related experience, or in lieu of a degree, a combined minimum of 9 years higher education and/ or work experience, including a minimum of 5 years related experience
  • Experience with data analysis and statistical tools
  • Experience working in large databases
  • Familiarity with common programming languages
  • Experience analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs

IDEAL QUALIFICATIONS PREFERRED:
  • 6 or more years related work experience in data analysis
  • Experience working with statistical analysis
  • Expert skills in programming languages such as SQL, SAS, Python, or R
  • Experience with one or more cloud databases
  • Experience working within an agile environment
  • Experience in quantitative finance or a related field, analyzing large and complex data sets, data reliability analysis, quality controls and data processing

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $113,300.00 - $188,800.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Baltimore, Maryland, United States of America

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