Senior Fraud Strategy & Analytics Associate

Aumni

Jersey City (NJ)

On-site

USD 85,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Comprehensive health care coverage
Retirement savings plan
Tuition reimbursement
Mental health support
Financial coaching

Job summary

TwinThread in Jersey City, NJ is seeking an Associate for its Fraud Strategy Team. You will design and validate strategies to mitigate fraud while balancing performance, customer experience, and operational efficiency.

Ideal candidates hold an MS or BS degree with a strong background in risk management or data analytics and have a proven capacity for collaboration and strategic thinking. The role offers competitive compensation and diverse benefits.

Qualifications

  • 2+ years experience in risk management/data analytics.
  • Proven track record of working well with internal teams and external partners.
  • Ability to think strategically and develop roadmaps.
  • Strong analytical thought leadership leveraging AI and machine learning.
  • Drive capability development with strong process and project management skills.
  • Communicate effectively with senior leaders and stakeholders.
  • Demonstrated curiosity to learn and attention to detail.

Responsibilities

  • Manage and enhance Fraud strategy for performance and efficiency.
  • Monitor fraud trends to identify strategy improvement opportunities.
  • Leverage data sources and analytic tools for fraud detection.
  • Develop new capabilities with product and technology teams.
  • Collaborate with fraud strategy and cross-functional teams.

Skills

Risk management
Data analytics
Collaboration
Analytical thinking
Project management
Communication skills

Education

MS degree in a relevant field
BS degree in a relevant field

Job description

TwinThread in Jersey City, NJ is seeking an Associate for its Fraud Strategy Team. You will design and validate strategies to mitigate fraud while balancing performance, customer experience, and operational efficiency.

Ideal candidates hold an MS or BS degree with a strong background in risk management or data analytics and have a proven capacity for collaboration and strategic thinking. The role offers competitive compensation and diverse benefits.

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