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Manager Bank Data Scientist Jobs (NOW HIRING)

... management. * Identify new data capabilities to enable strategic objectives, partner with data ... Knowledge and experience in the banking industry and banking systems. * Advanced knowledge of data ...

At Bank of America, we are guided by a common purpose to help make financial lives better through ... Risk Management * Adaptability * Collaboration * Consulting * Networking * Policies, Procedures ...

... services clients banking, Insurance and credit union business in achieve their business goals ... However, the biggest challenge during managing this data comes across in the terms of 'Value ...

At Bank of America, we are guided by a common purpose to help make financial lives better through ... Risk Management * Adaptability * Collaboration * Consulting * Networking * Policies, Procedures ...

... services clients banking, Insurance and credit union business in achieve their business goals ... However, the biggest challenge during managing this data comes across in the terms of 'Value ...

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Understand the structure of bank wire transfer data, including international formats from message ... Communicate project progress, support needs, and analytical output to senior management, clearly ...

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Understand the structure of bank wire transfer data, including international formats from message ... Communicate project progress, support needs, and analytical output to senior management, clearly ...

Understand the structure of bank wire transfer data, including international formats from message ... Communicate project progress, support needs, and analytical output to senior management, clearly ...

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Manager Bank Data Scientist information

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$46K

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$243.5K

How much do manager bank data scientist jobs pay per year?

As of Aug 3, 2026, the average yearly pay for manager bank data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Can a data scientist work in a bank?

A data scientist can work in a bank, where they analyze financial data, develop models for risk assessment, fraud detection, and customer insights. Skills in statistical analysis, machine learning, and tools like Python or R are essential for this role in the banking industry.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. For a manager or data scientist, focusing on the most impactful variables or data segments can improve model performance and decision-making efficiency.

How much does a data scientist at a bank make?

A data scientist at a bank typically earns between $80,000 and $130,000 annually, depending on experience, location, and education. Senior roles or those with specialized skills in machine learning or financial modeling can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits related to the financial industry environment.

How much do data scientist managers make?

Data scientist managers typically earn between $100,000 and $160,000 annually, depending on experience, location, and the size of the organization. They often oversee data teams, utilize advanced analytics tools, and require strong leadership and technical skills.
What cities are hiring for Manager Bank Data Scientist jobs? Cities with the most Manager Bank Data Scientist job openings:
What are the most commonly searched types of Bank Data Scientist jobs? The most popular types of Bank Data Scientist jobs are:
What states have the most Manager Bank Data Scientist jobs? States with the most job openings for Manager Bank Data Scientist jobs include:

Data Scientist

Valley Bank

Manhattan, NY • On-site

Full-time

Posted 10 days ago


Valley Bank rating

7.3

Company rating: 7.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

113th of 170 rated banks


Job description

Responsibilities include, but are not limited to:
  • Interpret business needs and requirements and independently perform analysis and/or build reports and dashboards to meet requirements.
  • Translate analysis findings and technical topics, visualize data to explain results to a non-technical business audience and senior management.
  • Identify new data capabilities to enable strategic objectives, partner with data enablement team to build solutions.
  • Interact independently with business partners on data needs and respond to data requests.
  • Perform challenging data queries, reconcile data, analyze results, and form conclusions for senior management.
  • Drive a strong data-driven culture within the company by mentoring data analysts and increasing data capabilities in other internal functions.

Required Skills:
  • Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python (pandas, numpy).
  • Working knowledge in developing reports and dashboards in Power BI or Tableau.
  • Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute multiple objectives.
  • Ability to identify key insights and present results to a business audience.
  • Preferred experience in mapping techniques, such as calculating distances and routes, as well as ability to build custom market and demographic maps.
  • Awareness of latest trends in data analytics.
  • Knowledge and experience in the banking industry and banking systems.
  • Advanced knowledge of data structures and the ability to visualize data effectively to communicate to a business audience.
  • The Data Scientist will have strong collaboration and communication skills to effectively partner with other data teams and business partners.

Required Experience:
  • Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences.
  • Miniumum of 3 years working in a data analytics role with hands-on experience in wrangling large data sets, conducting data analysis and developing insights from data.
  • Experience working independently with business partners and diverse corporate functions.

Preferred Experience:
  • Master's degree in a quantitative discipline.
  • Financial Services experience and knowledge of Retail/Commercial Banking industry, products, and data highly desired.

What Valley Bank employees say

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