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Sas R Python Internship Jobs in Texas (NOW HIRING)

Strong experience with data analysis and modeling (SAS, R, Python, SQL) * Proven ability to translate complex analytics into business insights Preferred Qualifications * Experience in consumer ...

Strong experience with data analysis and modeling (SAS, R, Python, SQL) * Proven ability to translate complex analytics into business insights Preferred Qualifications * Experience in consumer ...

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Sas R Python Internship information

What is a SAS R Python Internship?

A SAS R Python Internship is a temporary position designed for students or recent graduates to gain hands-on experience using statistical analysis and programming languages, specifically SAS, R, and Python. Interns typically work on data-driven projects, helping organizations analyze large datasets, develop predictive models, and automate data processes. This type of internship is common in industries like finance, healthcare, and tech, and is ideal for individuals interested in data science, analytics, or programming careers.

What is the difference between Sas R Python Internship vs Data Analyst Internship?

AspectSas R Python InternshipData Analyst Internship
Required SkillsKnowledge of SAS, R, Python, data manipulationProficiency in Excel, SQL, basic statistical analysis
Work EnvironmentData-focused, analytics teams, tech companiesBusiness units, consulting firms, finance
Industry UsageCommon in healthcare, finance, techWidespread across industries including marketing and finance

Both internships involve data analysis skills, but Sas R Python Internships focus more on programming and statistical tools, while Data Analyst Internships emphasize business insights and reporting. The choice depends on whether you prefer technical programming or business-oriented analysis.

What types of projects can I expect to work on during a SAS R Python internship, and how do these projects contribute to real business outcomes?

As a SAS R Python intern, you will typically work on data analysis, data cleaning, and developing predictive models using large datasets. Projects often involve collaborating with data scientists and business analysts to extract insights that drive decision-making, such as optimizing marketing campaigns or improving operational efficiency. These assignments allow you to apply statistical methods and programming skills in practical settings, directly supporting organizational goals. Interns also gain exposure to real-world data challenges and team-based problem-solving, making it a valuable stepping stone for future analytics roles.

What are the key skills and qualifications needed to thrive as a SAS R Python Intern, and why are they important?

To thrive as a SAS R Python Intern, you need a solid understanding of statistics, data analysis, and programming fundamentals, often supported by coursework or a degree in a quantitative field. Familiarity with statistical software like SAS, R, and Python, as well as data visualization and database tools, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These skills are crucial for successfully analyzing data, drawing actionable insights, and contributing effectively to data-driven projects within an organization.
What are the most commonly searched types of Sas R Python jobs in Texas? The most popular types of Sas R Python jobs in Texas are:
Director, Credit Risk

Director, Credit Risk

Regional Finance

Plano, TX • On-site

Full-time

Posted 24 days ago


Regional Finance rating

6.9

Company rating: 6.9 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times.
We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team.
If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board!
About the Role
The Director, Credit Risk Management, leads the development and execution of credit risk strategies across the organization, with responsibility for originations and underwriting, portfolio analytics, business performance reporting, and risk strategy development. This role oversees the design, implementation, and governance of enterprise-wide credit policies and underwriting standards to ensure sound risk management practices. The Director drives data-driven decision-making to optimize portfolio performance, balancing growth objectives with risk appetite and established performance targets. As a senior leader, this individual provides strategic insights and recommendations grounded in advanced analytics and a deep understanding of credit risk dynamics across consumer lending products, supporting sustainable business growth and portfolio quality.
What You'll Do
Credit Strategy & Portfolio Leadership
  • Lead the design and execution of credit risk strategies across originations and underwriting
  • Optimize portfolio performance while balancing growth, loss targets, and risk appetite
  • Oversee portfolio monitoring, forecasting, and performance analytics

Risk Governance & Policy
  • Establish and evolve enterprise credit policies, underwriting standards, and governance frameworks
  • Ensure compliance with regulatory expectations and internal risk controls
  • Partner with Compliance, Audit, and Asset Review to maintain strong risk oversight

Analytics & Insights
  • Deliver data-driven insights on portfolio health, including delinquency trends, loss performance, and profitability
  • Lead stress testing and scenario analysis to evaluate portfolio resilience
  • Identify emerging risks, performance anomalies, and optimization opportunities

Advanced Modeling & Data Utilization
  • Leverage traditional and alternative data to enhance credit decisioning
  • Apply advanced analytical techniques (regression, segmentation, clustering) to improve risk strategies
  • Oversee model development, validation, and performance monitoring

Business Partnership & Leadership
  • Advise executive leadership on credit risk exposure and strategic decisions
  • Partner with business leaders to align risk strategies with growth objectives
  • Lead initiatives that improve underwriting effectiveness and segmentation

What You Bring
Required Qualifications
  • Bachelor's degree in Statistics, Economics, Data Analytics, Mathematics, or related field
  • 6+ years of experience in credit risk, consumer finance, or analytics
  • Strong experience with data analysis and modeling (SAS, R, Python, SQL)
  • Proven ability to translate complex analytics into business insights

Preferred Qualifications
  • Experience in consumer lending or financial services
  • Background in marketing analytics or risk model development
  • Experience leading enterprise-level credit strategies

Key Strengths
  • Strategic thinker with strong business acumen
  • Exceptional communication skills (translating analytics → executive insights)
  • Strong analytical and problem-solving capabilities
  • Ability to operate in a fast-paced, data-driven environment
  • Collaborative and influential leadership style

Direct Reports
3-5 direct reports.
If you are a job applicant who resides in the state of California, please review our California Employee Privacy Policy at the following link: https://regionalfinance.com/wp-content/uploads/2022/11/UPDATED-Employee-Privacy-Policy-11.2022.pdf
Regional is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, transgender status, age, disability, genetic information, veteran status, uniform service, or any other characteristic protected by applicable law ("Protected Characteristics"). Regional's policy of non-discrimination applies to all phases of the employment process and relationship, including, but not limited to, recruitment and selection; compensation and benefits; professional development and training; promotions and opportunities; transfers; social and recreational programs; layoff; and terminations.

What Regional Finance employees say

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Benefits

Hours and flexibility

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