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Fraud Intelligence Data Engineer - St. Petersburg, FL
FinTrust Connect is excited to announce that we have partnered with a prominent Broker Dealer firm in search of a Fraud Intelligence Data Engineer. This role is responsible for designing and implementing fraud detection solutions, performing complex data analysis, and collaborating with stakeholders to mitigate fraud risks effectively.
Why this Opportunity?
- Culture: This firm values a strong team-oriented culture that prioritizes inclusivity and professional development. They believe in creating a supportive and collaborative work environment where all employees feel valued and empowered to reach their full potential.
- Workplace (On-site, Hybrid, Remote): Hybrid in St. Petersburg, FL
Requirements:
- Bachelor’s Degree in statistics, mathematics, physics, economics, or other analytical or quantitative disciplines. Master’s Degree or PhD preferred.
- 5-8 years of experience in data analytics, modeling, and analytical project implementation.
- Experience working with Big Data environments with hands-on coding experience in tools such as SAS, SQL, Python, Impala, Hive.
- Proficiency with data visualization tools, such as Tableau, PowerBI, or Qlik.
- Strong quantitative and analytic skills; ability to derive patterns, trends, and insights, and perform risk/reward tradeoff analysis.
- Excellent written and verbal communication skills, with the ability to connect analytics to business impacts and present to peers and management.
- Creative problem-solving skills and attention to detail.
- Deep understanding of data management, including data pipelines and data quality.
Description:
- Lead internal fraud analytics, engaging and collaborating with business, fraud, and control stakeholders to use advanced analytics in proactively identifying fraud risk and trends.
- Own the knowledge and quality of internal fraud detection data, collaborating with technology to implement the appropriate analytics platform, data structure, pipeline, and transformation within the Big Data ecosystem.
- Extract knowledge and insights from data to design complex internal fraud detection solutions through various data preparation, modeling, and visualization techniques, including predictive analysis, pattern recognition, and machine learning.
- Serve as the regional analytics point person for stakeholder management and communication, including internal/external audit reviews and compliance assurance reviews.
- Support the Internal Fraud Governance team in designing and executing analytical processes, such as change management.
- Provide analytic thought leadership and manage project planning effectively.
