Verified Job
Accounting - Finance
Fraud Risk Strategic Analytics Associate
Accounting - Finance
#338355
Remote / WFH
Job Description
As part ofDigital Fraud Strategy team you will beresponsible for leveraging advanced analytical tools to protect customers from fraud and scams in the digital payments space. you willleverage machine learning fraud models, overlain with vendor and in-house data as well as an array of analytical techniques to develop risk rules and strategies. You willact as the end to end owner of fraud loss management of digital activity.
Job Responsibilities:
Ability to analyze emerging fraud and scam trends and recommend mitigating actions
The ability to develop new fraud fighting products by designing requirements and working with technical business partners to implement these products using agile design methodology
Ability to develop new creative solutions to challenges presented by fraud activity leveraging outside the box thinking
Manipulate and understand large amounts of complex data to monitor and uncover behaviors and trends in fraudulent activity
Strong communication skills with the ability to communicate complex data into a clear story to team members as well as senior leaders
A desire to work as part of a team, and ability to work with cross functional teams
The ability to work on diverse tasks and respond to emerging issues
Required qualifications, capabilities, and skills
6+ years of professional experience, experience in risk management, strategic analytics, or data science preferred
Strong analytical, interpretive and problem solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas
Strong written and verbal communication skills and ability to interact with all levels of the organization is required with the ability to storyboard along with the ability to defend storyboard position
Ability to develop elegant and common-sense solutions to complex business challenges
Strong knowledge of programming language like: Python, SAS, R and SQL
Proficient in Excel & PowerPoint
Preferred qualifications, capabilities, and skills
2years of experience in Fraud risk roles preferred
Strong P&L knowledge and understanding of drivers of profitability
Demonstrated experience with data analysis, designing & analyzing experiments, and Modeling
A bachelor's degree in Finance, Accounting, Economics, Statistics or equivalent work experience preferred
6.00-+.00 Years
Job Responsibilities:
Ability to analyze emerging fraud and scam trends and recommend mitigating actions
The ability to develop new fraud fighting products by designing requirements and working with technical business partners to implement these products using agile design methodology
Ability to develop new creative solutions to challenges presented by fraud activity leveraging outside the box thinking
Manipulate and understand large amounts of complex data to monitor and uncover behaviors and trends in fraudulent activity
Strong communication skills with the ability to communicate complex data into a clear story to team members as well as senior leaders
A desire to work as part of a team, and ability to work with cross functional teams
The ability to work on diverse tasks and respond to emerging issues
Required qualifications, capabilities, and skills
6+ years of professional experience, experience in risk management, strategic analytics, or data science preferred
Strong analytical, interpretive and problem solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas
Strong written and verbal communication skills and ability to interact with all levels of the organization is required with the ability to storyboard along with the ability to defend storyboard position
Ability to develop elegant and common-sense solutions to complex business challenges
Strong knowledge of programming language like: Python, SAS, R and SQL
Proficient in Excel & PowerPoint
Preferred qualifications, capabilities, and skills
2years of experience in Fraud risk roles preferred
Strong P&L knowledge and understanding of drivers of profitability
Demonstrated experience with data analysis, designing & analyzing experiments, and Modeling
A bachelor's degree in Finance, Accounting, Economics, Statistics or equivalent work experience preferred
6.00-+.00 Years
