3 of 3 Permanent SAS Jobs in the Midlands

Senior Fraud Analyst

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
Birmingham, West Midlands, England, United Kingdom
Employment Type
Full-Time
Salary
£40,000 - £60,000 per annum
EXPERIENCE : Prior experience within fraud strategy is essential Prior experience working with Cifas, Hunter etc is desirable Essential to have had experience using SAS or SQL Python is desirable but not essential SALARY AND BENEFITS Up to £60,000 starting salary Discretionary bonus Pension contribution scheme 26 days holiday ...

Fraud Strategy Analyst

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
West Midlands, England, United Kingdom
Employment Type
Full-Time
Salary
£35,000 - £40,000 per annum
Strategy Analyst to join their fraud analytics function where you will be developing fraud strategies and providing insights on fraud performance using tools like SAS, SQL, and Python. Responsibilities: As a Fraud Strategy Analyst, you will be responsible for: Crafting and implementing effective fraud strategies to mitigate risks … protect different clients and customers Utilizing SAS, SQL, and Python to analyse data, identify fraud patterns, and develop new fraud rules. Managing and mitigating various types of fraud with a focus on application fraud. Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration. Leveraging your ...

Senior Fraud Analyst

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
West Midlands, England, United Kingdom
Employment Type
Full-Time
Salary
£45,000 - £55,000 per annum
Strategy Analyst to join their fraud analytics function where you will be developing fraud strategies and providing insights on fraud performance using tools like SAS, SQL, and Python. Responsibilities: As a Senior Fraud Strategy Analyst, you will be responsible for: Crafting and implementing effective fraud strategies to mitigate risks … protect different clients and customers Utilizing SAS, SQL, and Python to analyse data, identify fraud patterns, and develop new fraud rules. Managing and mitigating various types of fraud with a focus on application fraud. Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration. Leveraging your ...