1

Credit Risk Data Science Jobs in Idaho (NOW HIRING)

Provides oversight of credit risk and portfolio management, establishing appropriate underwriting ... data, automation, digital capabilities, and continuous improvement to enhance efficiency ...

Senior Data Analyst

Idaho Falls, ID · On-site

$82K - $104K/yr

Help reduce operational risk by promoting standardized designs and shared knowledge, minimizing ... science, information systems, statistics, or related field; and/or equivalent work experience.

... at-risk events to identify trends and drive corrective actions. * Lead or support excursion ... Bachelor's degree in Engineering, Materials Science, Physics, Chemistry, Data Science, or a related ...

New

Senior Technical Product Manager - AI / ML

Boise, ID · On-site

$120K - $158K/yr

... risk management and experience with clinical policy and workflow integration. This person can work effectively with cross-functional teams, most importantly data scientists and machine learning ...

Bachelor's degree in computer science, economics, mathematics, business administration or a related ... Refines data into risk categories and develops risk demand zones. Identifies and analyzes data sets ...

New

GIS Data Analyst - Fire

Boise, ID · Hybrid

$68K - $80K/yr

Required Knowledge, Experience, And Training Bachelor's degree in computer science, economics ... Refines data into risk categories and develops risk demand zones. Identifies and analyzes data sets ...

... risk-based alerting within Splunk Enterprise Security (ES). • Leverage the Splunk App for Data Science and Deep Learning (DSDL) to operationalize machine learning models for anomaly detection and ...

... risk-based alerting within Splunk Enterprise Security (ES). · Leverage the Splunk App for Data Science and Deep Learning (DSDL) to operationalize machine learning models for anomaly detection and ...

Showing results 21-40

Credit Risk Data Science information

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What are popular job titles related to Credit Risk Data Science jobs in Idaho?

For Credit Risk Data Science jobs in Idaho, the most frequently searched job titles are:

What cities in Idaho are hiring for Credit Risk Data Science jobs?

Cities in Idaho with the most Credit Risk Data Science job openings:

Department Data Analyst-Deposit and Branch Performance

Chubbuck, ID • On-site

ICCU
Commercial Banking • 1 - 5K employees

Other

Posted 12 days ago


Key responsibilities

  • Prepare and review monthly reports for product managers, project managers, and business line owners.

  • Track and measure performance metrics, establish KPIs, and create performance reports and dashboards.

  • Analyze financial data, conduct market research, and evaluate product performance to support decision-making and process improvements.


Idaho Central Credit Union rating

7.8

Company rating: 7.8 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Department Data Analyst-Deposit and Branch Performance

The Data Analyst LevelIis responsible for collecting, processing, and analyzing data to extract valuable insights and support decision-making acrossthe Credit Union. This role involves managing productreporting, market share and rate data, and providing business intelligence to improve customer engagement and operational efficiency.

Duties and Responsibilities Include:

  • Prepare and review monthly reports for productmanagers,project managers aswellbusiness line owners.
  • Track and measure performance metrics for the product and project teams, working to establish KPIs to measure the effectiveness of business decisions and track performance.
  • Create and interpret performance reports, metrics, and dashboards for product lines and teams as a measure of efficiency, effectiveness, and profitability.
  • Margin maximization analysis – Optimizing our spreads by risk tiers and pricing.
  • Product Analysis – Profitability and utilization tracking.
  • Analyze financial data and create financial models for decision support.
  • Conduct market research in conjunction with the product managers and analyze financial trends and forecasts.
  • Identify and drive process improvements by creating standard and ad-hoc reports, tools, and dashboards.
  • Evaluate financial performance by comparing and analyzing actual results with plans and forecasts.
  • Provide analysis of trends and forecasts and recommend actions for optimization.
  • Review the effectiveness of marketing campaigns for penetration and profitability measures.
  • Evaluate products at all stages of the product life cycle.
  • Provide support for users requiring assistance with data mining, report generation, and data analysis from a variety of data sources. This may include data fromany and allloan origination systems,eBranch, remote deposit capture, and online account opening solutions, online and branch account opening solutions for Deposit and Consumer Loan products, and video banking and digital communication channels.
  • Collaborate with cross-functional teams toidentifyopportunities for process and product optimization.
  • Departmental Ownership: Each Data Analystwill be assigned to own the analytics for a specific department, such asDigital Experience,Risk Management, Lending, Member Assistance, Operations,Branch Operationsor Card Services. They will be responsible for providing tailored insights and reports to support the unique needs and goals of their assigned department.

Qualifications:

Bachelor’s degree required with a degree in Mathematics, Statistics, Accounting, Finance, or Data Science preferred. 0 to 2 years of lending experience preferred. Excellent math skills and computer knowledge. Excellent communication and interpersonal skills. Ability to always maintain theconfidentiality of Credit Union and member records.

Performance Standard:

A demonstrated cooperative and positive attitude toward members and other Credit Union staff. Dedicated to serving our internal team members and holding team accountable for the Credit Union’s service standard. Be able to diagnose and solve complex problems. Professional appearance, and dependable with attendance, quality, and quantity of work performed. Must comply with the Bank Secrecy Act and USA Patriot Act as implemented by ICCU.

Physical Requirements:

  • Perform tasks requiring manual dexterity (processing paperwork, filing, stapling, sorting, collating, typing, counting cash, etc.).
  • Sit for extended periods of time.
  • Lift 20-40 pounds of applicable supplies including but not limited to copy paper, cash drawers, marketing material, etc.
  • Repetitive motion using wrists, hands, and fingers.
  • Reach keyboards.
  • Ability to operate basic office machines (calculator, computer, telephone, copy machine, fax machine, etc.).

The above statements reflect the general details considered necessary to describe the essential functions of the job and should not be construed as a detailed description of all the work requirements that may be inherent of the job.

Must be eligible for membership at ICCU to obtain employment.

ICCU is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, age, disability, protected veteran status or other characteristics protected by law.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

#J-18808-Ljbffr

What Idaho Central Credit Union employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom