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Sas R Python Jobs (NOW HIRING)

... SAS, R, Python, etc; The role is expected to work closely with stakeholders to support origination optimization design and implementation; evaluate and improve statistical models throughout ...

SAS Statistician

Houston, TX · On-site

$95K/yr

Outcomes: * Standardize SAS Macro library within 3 months * Double data output rate by reducing ... STATA, R, Python experience Additional Information Compensation: $95k+ base salary

Risk Manager I (US)

New York, NY · On-site

$91K - $136K/yr

... SAS, R, Python, etc; The role is expected to work closely with stakeholders to support origination optimization design and implementation; evaluate and improve statistical models throughout ...

Risk Manager I (US)

Mount Laurel, NJ · On-site

$91K - $136K/yr

... SAS, R, Python, etc; The role is expected to work closely with stakeholders to support origination optimization design and implementation; evaluate and improve statistical models throughout ...

Risk Manager I (US)

Southfield, MI · On-site

$91K - $136K/yr

... SAS, R, Python, etc; The role is expected to work closely with stakeholders to support origination optimization design and implementation; evaluate and improve statistical models throughout ...

... SAS, R, Python, etc; The role is expected to work closely with stakeholders to support origination optimization design and implementation; evaluate and improve statistical models throughout ...

Outcomes: * Standardize SAS Macro library within 3 months * Double data output rate by reducing ... STATA, R, Python experience Additional Information Compensation: $95k+ base salary

Risk Manager I (US)

Southfield, MI · On-site

$91K - $136K/yr

... SAS, R, Python, etc; The role is expected to work closely with stakeholders to support origination optimization design and implementation; evaluate and improve statistical models throughout ...

Duties: Apply quantitative and qualitative data analysis methods to extract, transform and analyze AML/KYC data using SAS, R programming, Python, and SQL. Perform validation of the bank's KYC ...

Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI, Tableau, R Shiny) * Public health or CDC program support experience * *NOTE: Must be able to ...

Build and deploy machine learning models using R, Python, SAS, and SQL. * Develop cloud-based analytic solutions and integrate them into enterprise systems. * Analyze large datasets to uncover ...

Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI, Tableau, R Shiny) * Public health or CDC program support experience * *NOTE: Must be able to ...

Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI, Tableau, R Shiny) * Public health or CDC program support experience * *NOTE: Must be able to ...

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Sas R Python information

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How much do sas r python jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for sas r python in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.

What is a Sas R Python job?

A SAS R Python job involves working with data analysis, statistical modeling, and machine learning using SAS, R, and Python programming languages. Professionals in this role typically manipulate and analyze large datasets, create predictive models, and generate reports for business insights. These jobs are common in industries like finance, healthcare, and research, where data-driven decision-making is crucial. Strong programming skills, knowledge of data structures, and experience with visualization tools are often required.

Are SAS skills in demand?

SAS skills remain in demand in industries such as healthcare, finance, and government for data analysis and reporting. Professionals with expertise in SAS, along with knowledge of programming languages like R or Python, are often sought after for data management and analytics roles. Certification in SAS can also enhance job prospects in this field.

Which Python job is in demand?

Data analyst, data scientist, and machine learning engineer roles that require Python skills are currently in high demand across various industries. These positions often require knowledge of libraries like Pandas, NumPy, and scikit-learn, and may prefer candidates with experience in cloud platforms and data visualization tools.

Is SAS similar to R or Python?

SAS is a proprietary software suite used for data analysis, while R and Python are open-source programming languages commonly employed for statistical computing and data science. SAS has a graphical user interface and specialized procedures, whereas R and Python offer greater flexibility and a wide range of libraries for data manipulation, modeling, and visualization. Job roles requiring SAS often also value knowledge of R or Python for more advanced or customizable analytics.

What types of projects or analyses are commonly handled by professionals with SAS, R, and Python expertise?

Professionals skilled in SAS, R, and Python are often tasked with handling large-scale data analysis projects, developing predictive models, and automating data pipelines for business reporting or research. Their daily responsibilities may include cleaning and validating datasets, running statistical tests, building machine learning algorithms, and visualizing results for non-technical audiences. Collaboration with data engineers, business analysts, and decision-makers is common to ensure analyses align with organizational goals. This dynamic role offers the opportunity to continually learn new tools and techniques while making a measurable impact on company strategy.

What are the key skills and qualifications needed to thrive in the Sas R Python position, and why are they important?

To excel in a Sas R Python role, you need strong analytical skills, experience in data manipulation and statistical modeling, and proficiency in SAS, R, and Python programming languages. Familiarity with databases, ETL processes, and data visualization tools, as well as certifications in relevant languages or data analysis, are often expected. Attention to detail, problem-solving abilities, and effective communication are important soft skills for collaborating with stakeholders and presenting data-driven insights. These skills and qualifications are critical for transforming complex data into actionable business solutions and driving informed decision-making.

Can we use Python in SAS?

SAS R Python refers to integrating Python with SAS software, allowing users to run Python code within SAS environments or exchange data between the two. This integration enables data analysts and statisticians to leverage Python's libraries alongside SAS procedures for advanced analytics and automation. Skills in both SAS and Python are often required for such roles, and tools like SASPy facilitate this interoperability.
More about Sas R Python jobs
What are the most commonly searched types of Sas R Python jobs? The most popular types of Sas R Python jobs are:
Infographic showing various Sas R Python job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.
Risk Manager I (US)

Risk Manager I (US)

Td

Wilmington, DE

$91K - $136K/yr

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago


Job description

Work Location:

Southfield, Michigan, United States of America

Hours:

40

Pay Details:

$91,000 - $136,000 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Risk Management

Job Description:

The Risk Manager I manages the creation, implementation and validation of various risk segmentation strategies including, but not limited to: adjudication, account management, exposure management, risk segmentation, and financial return optimization. This job provides critical information, interpretative, and detailed analysis, and deploys critical credit risk rational strategies that ensure the decisions are made within the TD risk appetite and adhere to all governmental requirements and guidelines. The Risk Manager I's primary accountability is providing a comprehensive and diverse range of risk management expertise. The Risk Manager I investigates, creates, implements and validates various risk segmentation strategies and policies using complex data, advanced analytical approach, and business intelligence tools.

Strategy
The position is expected to have strong statistical and mathematical background with in-depth Auto Origination experience, thorough understanding of scorecard and statistical model mechanism in the context of usage in Auto Acquisition and Pricing Strategy, proficient in using Analytical software of SAS, R, Python, etc;
The role is expected to work closely with stakeholders to support origination optimization design and implementation; evaluate and improve statistical models throughout origination process and pricing strategy; Validate and enhance strategy structure such as Credit Tier to meet business goals; quantify business impact upon strategy/statistical tool changes.

2. Alt. Data Exploration/Strategy Segmentation Enhancement
The role is expected to have strong statistical and mathematical background with in-depth Auto Lending experience; thorough knowledge of Regression, Decision Trees, Clustering, Survival Analysis, GLM, machine learning, familiar with Bureau data attributes and tools such as Trans Union, Experian Sandbox (Premiers, Trended Data, Clarity, etc), advanced in using Analytical software of SAS,R, Python, etc; experience with dealing big data.

The position is expected work with data vendors such as Credit bureaus to obtain and validate varieties of risk data, apply mathematical methodologies to explore opportunities of utilizing both traditional and alternative information on statistical tools/strategies for potential enhancement throughout credit life cycle; enhance origination strategy structure such as Credit Tier to help meet business goals; work closely with stakeholders and vendor to support origination optimization design and implementation.

Depth & Scope:

  • Demonstrates governance, control and risk management behaviors in alignment with TD policies and practices
  • Leads/participates in the identification, development and implementation of new initiatives, operating workflow, additional services/applications or operational efficiencies including potentially leading special project teams or cross functional work groups
  • Assists with developing and enhancing credit risk assessment capabilities to identify and maintain good business opportunities with new and existing clients
  • Performs detailed analysis and interprets information to make recommendations to Senior Management on critical strategies including non-standard and ad-hoc requests as determined by management
  • Creates reports on the results of implemented strategies, using all appropriate quantitative methods and MIS, and makes recommendations to increase efficiencies and revenue while managing credit risk and produce those reports on a regular basis
  • Effectively works cross-functionally with teams outside of risk
  • Works with Internal Audit / External Regulators, to ensure that documentation for all work processes is complete and up-to-date
  • Ensures sound credit control by taking a pro-active approach to risk management within the risk guidelines of the Bank
  • Ensures the timely communication of issues that are relevant to the team and encourages a good working relationship with other internal and external groups

Education & Experience:

  • Bachelor's degree required; Graduate degree preferred
  • 5+ years' experience required
  • Proficient PC skills including a strong competency in MS Excel and PowerPoint, and a variety of PC-based analytical and reporting software packages
  • Experience with the use of Relational Databases and the process of Extract Transform Load (ETL) using common languages such as SQL or SAS
  • Familiar with various analytical or reporting tools, such as SAS, R, Matlab Tableau, etc.
  • Strong analytical and problem solving skills are required to interpret data and draw conclusions
  • Experience in data modeling and risk management either from a business administration, statistical, mathematical, scientific or financial background
  • Excellent written and verbal communication skills
  • Experienced in developing and presenting recommendations to Senior Management

Physical Requirements:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

  • Domestic Travel - Occasional
  • International Travel - Occasional
  • Performing sedentary work - Frequent
  • Performing multiple tasks - Continuous
  • Operating standard office equipment - Continuous
  • Responding quickly to sounds - Frequent
  • Sitting - Continuous
  • Standing - Occasional
  • Walking - Occasional
  • Moving safely in confined spaces - Occasional
  • Lifting/Carrying (under 25 lbs.) - Occasional
  • Lifting/Carrying (over 25 lbs.) - Occasional
  • Squatting - Occasional
  • Bending - Occasional
  • Kneeling - Occasional
  • Crawling - Never
  • Climbing - Never
  • Reaching overhead - Occasional
  • Reaching forward - Occasional
  • Pushing - Occasional
  • Pulling -Occasional
  • Twisting - Occasional
  • Concentrating for long periods of time - Continuous
  • Applying common sense to deal with problems involving standardized situations - Continuous
  • Reading, writing and comprehending instructions - Continuous
  • Adding, subtracting, multiplying and dividing - Frequent

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package


Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.