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Entrylevel Geopolitical Risk Analyst Jobs in Oklahoma

Deloitte

Expense Fraud Analyst

Tulsa, OK

Experience analyzing financial transactions, supporting documentation, and data trends to identify exceptions, risk indicators, or policy non-compliance * Experience using Microsoft Excel, Microsoft ...

DRG

TRAINER

Oklahoma City, OK · On-site

Must have the ability to read, analyze, and interpret complex words and technical documents ... Potential risk exposure due to geopolitical events has been considered in determining appropriate ...

asrcfh

Data Scientist

Oklahoma City, OK

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

asrcfh

Data Scientist

Oklahoma City, OK

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

ASRC Federal Holding

Data Scientist

Oklahoma City, OK · On-site

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

Pwc

Partnership Tax Senior Associate - SALT

Tulsa, OK

$55K - $187K/yr

... 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 ...

Investor Economics

Lead Generation Agent

Norman, OK · Hybrid

... 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.

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Data Analyst III/II/I

Americanfidelity

Oklahoma City, OK

Full-time

Posted 11 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

#AFC

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