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Entry Level Risk Analyst Jobs in Oklahoma (NOW HIRING)

Analyze system performance, operational trends, failure data, and reliability metrics to support ... risk. * Design and evaluate experiments or comparative studies to determine whether observed ...

Analyze system performance, operational trends, failure data, and reliability metrics to support ... risk. * Design and evaluate experiments or comparative studies to determine whether observed ...

Analyze system performance, operational trends, failure data, and reliability metrics to support ... risk. * Design and evaluate experiments or comparative studies to determine whether observed ...

Responsibilities - Leveraging advanced analytics and statistical techniques to extract insights ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... reducing risk. In this role, you will review and analyze complex tax data and support internal ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... ENTRYLEVEL What You Can Expect from Us At ISS STOXX, our people are our driving force. We are ... Our services cover corporate governance, sustainability, cyber risk, and fund intelligence.

... risk assessments. Responsibilities * Follow safety rules, guidelines and standards for all projects ... Be responsible for maintaining quality standards on all projects. * Entry level geological ...

... risk assessments. Terracon is a 100 percent employee-owned multidiscipline consulting firm ... Be responsible for maintaining quality standards on all projects. * Entry level geological ...

Field Service Technician

El Reno, OK · On-site

$21.90 - $29.30/hr

Field Service Technician I is an entry level position with tasks that are routine and closely ... Analysis) and POWRA (Point of Work Risk Assessment) on job site and perform all duties in a safe ...

Entry Level Risk Analyst information

See Oklahoma salary details

$14

$37

$60

How much do entry level risk analyst jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for entry level risk analyst in Oklahoma is $37.38, according to ZipRecruiter salary data. Most workers in this role earn between $27.50 and $45.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Risk Analyst position, and why are they important?

To thrive as an Entry Level Risk Analyst, you need strong analytical abilities, attention to detail, and a foundational understanding of finance, economics, or a related field, often supported by a relevant bachelor’s degree. Familiarity with risk management software, Excel, and data analysis tools is advantageous, and some companies value certifications like FRM or CFA Level I. Excellent communication, problem-solving skills, and the ability to work collaboratively make candidates stand out in this role. These skills and qualities are critical for accurately assessing risks, providing actionable insights, and supporting effective decision-making within the organization.

What is an Entry Level Risk Analyst job?

An Entry Level Risk Analyst is responsible for identifying, assessing, and mitigating risks that could impact an organization’s financial stability and operations. They analyze data, create reports, and assist in developing risk management strategies under the guidance of senior analysts. This role typically involves working with financial models, market trends, and regulatory guidelines to support decision-making. Strong analytical skills, attention to detail, and proficiency in risk assessment tools are essential for success in this position.

What are some typical challenges faced by Entry Level Risk Analysts, and how can new hires prepare for them?

Entry Level Risk Analysts often face challenges such as quickly interpreting large volumes of complex data, adapting to evolving regulatory requirements, and learning industry-specific risk assessment methodologies. New hires can prepare by familiarizing themselves with common risk metrics, staying updated on regulatory changes, and practicing effective data analysis. It's also helpful to proactively seek guidance from more experienced team members and participate in relevant training sessions. With diligence and curiosity, most analysts develop confidence and expertise rapidly in this collaborative, knowledge-driven work environment.

What are the most commonly searched types of Risk Analyst jobs in Oklahoma? The most popular types of Risk Analyst jobs in Oklahoma are:
What job categories do people searching Entry Level Risk Analyst jobs in Oklahoma look for? The top searched job categories for Entry Level Risk Analyst jobs in Oklahoma are:
What cities in Oklahoma are hiring for Entry Level Risk Analyst jobs? Cities in Oklahoma with the most Entry Level Risk Analyst job openings:
Infographic showing various Entry Level Risk Analyst job openings in Oklahoma as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 85% Full Time, 7% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $77,754 per year, or $37.4 per hour.

Full-time

Posted 23 days ago


Job description

* Plan, implement and execute data mining and predictive modeling related projects to which they are assigned to deliver intended business value propositions, on time and within scope according to agreed upon priorities. The Data Analyst is accountable for working collaboratively with Data Navigators and for the successful delivery of all projects under their supervision.

* Assist the Research & Development team, Executive Management, and AFA through the production and maintenance of data and metrics regarding demographics, market trends, behavioral economics, and socioeconomic shifts.

* Drive business value through actionable insight and opportunity identification as facilitated through comprehensive exploratory, interactive, adaptive, and iterative data mining, machine learning, data science, clustering, artificial intelligence (AI), and predictive modeling related analysis which have generally high complexity and/or business risk.

Skills of Ideal Candidate:

1. Advanced knowledge of one or more differing statistical programming languages such as SAS, R or Stata.

2. Ability to develop structure and/or program databases specifically within an MS SQL environment, skilled in the utilization of Structured Query Language (SQL) for interacting with data sets. Understanding of data structures and ability to become proficient in mining data structures and lineage in support of data foot printing and inventory techniques.

3. Skilled in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data Robot

4. Skilled in MS Office Suite including MS Access, Excel, PowerPoint, Word and MS SharePoint.

5. Familiarity with the following disciplines

Natural Language Processing: Interaction between computers and humans

Machine Learning: using computers to improve as well as develop algorithms

Conceptual modeling: to be able to share and articulate conceptual approaches to solving business questions/problems

Statistical analysis and Predictive modeling

Hypothesis testing: design hypothesis, document control and test with appropriate modeling and experimentation

6. Ability to query databases and datasets and perform statistical analysis on enterprise-class database systems.

7. Exceptional presentation skills.

8. Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing.

9. Strong negotiation skills.

10.Strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.

11. Exceptional analytical thinking and problem solving skills.

12. Exceptional understanding of business and business strategy.

13.Strongplanning skills.

14. Exceptional organizational skill and ability to work autonomously.

15. Experience using data visualization tools such as QlikSense or Tableau

16. Innovative curiosity

17.Strongknowledge of Data Science

18.Ability to deal with ambiguity

Education Requirements:

Data Analyst III: Actuarial Designationscan substitute for PhD.AFA specific data experience will be considered in lieu of PhD oncase by casebasis

Data Analyst I/II: High school diploma or equivalent

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