Company:
Phaxis LLC
Location: Wyomissing
Closing Date: 29/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Hybrid in PA or NYC
What You'll Do:
We are seeking skilled developers and data scientists to assist in designing and optimizing transaction monitoring systems aimed at detecting and preventing financial crimes. You will collaborate with technology leaders to refine detection scenarios, applying advanced data science techniques to strengthen the institution's compliance framework and fraud detection capabilities.
Core Responsibilities:
Support the development and calibration of transaction surveillance models for anti-money laundering (AML) compliance.
Apply data analysis and data science methods to enhance the efficiency of transaction monitoring tools.
Create and refine models to identify potentially suspicious activities and continually improve detection algorithms.
Work closely with the technology leadership and compliance teams to incorporate new technologies that help prevent financial crimes.
Keep informed of emerging technologies and trends in financial crime prevention, and recommend system improvements where applicable.
Develop visual reports and dashboards to track the performance and effectiveness of transaction monitoring systems.
What You'll Need:
A bachelor's degree in a relevant field such as computer science, data analytics, or a similar area.
5 to 7 years of experience working with financial crime detection systems or in a similar technical field.
Proficient in programming languages like Python or SQL, and experienced in data analysis and model building.
Familiarity with tools and technologies for AML transaction monitoring.
Experience with machine learning and advanced analytics techniques is a plus.
Ability to collaborate effectively across multiple departments and teams.
Technology Proficiencies:
Competence in standard office software and an ability to quickly adapt to the organization's internal technology tools.
What You'll Do:
We are seeking skilled developers and data scientists to assist in designing and optimizing transaction monitoring systems aimed at detecting and preventing financial crimes. You will collaborate with technology leaders to refine detection scenarios, applying advanced data science techniques to strengthen the institution's compliance framework and fraud detection capabilities.
Core Responsibilities:
Support the development and calibration of transaction surveillance models for anti-money laundering (AML) compliance.
Apply data analysis and data science methods to enhance the efficiency of transaction monitoring tools.
Create and refine models to identify potentially suspicious activities and continually improve detection algorithms.
Work closely with the technology leadership and compliance teams to incorporate new technologies that help prevent financial crimes.
Keep informed of emerging technologies and trends in financial crime prevention, and recommend system improvements where applicable.
Develop visual reports and dashboards to track the performance and effectiveness of transaction monitoring systems.
What You'll Need:
A bachelor's degree in a relevant field such as computer science, data analytics, or a similar area.
5 to 7 years of experience working with financial crime detection systems or in a similar technical field.
Proficient in programming languages like Python or SQL, and experienced in data analysis and model building.
Familiarity with tools and technologies for AML transaction monitoring.
Experience with machine learning and advanced analytics techniques is a plus.
Ability to collaborate effectively across multiple departments and teams.
Technology Proficiencies:
Competence in standard office software and an ability to quickly adapt to the organization's internal technology tools.
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