Constantinople’s state-of-the-art platform eliminates the need for expensive infrastructure, and replaces manual operational and compliance processes with automation at scale. By removing the operational complexity of banking, Constantinople enables its clients to focus on its customers and the business of banking.
The Role
We are seeking a dedicated Fraud & Financial Crime Data Analyst to join our rapidly expanding team. As an analyst, you will be at the forefront of developing controls to identify and mitigate financial crime and fraud risks for our clients. Your work will be vital in maintaining the trust of our customers and ensuring the integrity of the financial systems we serve.
What You’ll Do
- Test and tune the performance of Transaction Monitoring
- Performing level 2/Quality Control reviews across all financial crime and fraud operational cases:
- Develop and utilise AI and machine learning to combat financial crime and support the customer journey;
- Support internal and Client reporting and responses to law enforcement to support investigations;
- Documenting and uplifting processes and procedures;
- Working with internal teams and external vendors to escalate and investigate issues and exceptions;
- Improving operational effectiveness with a data driven approach
- Supporting audits, reviews, and other request from independent parties
- Working directly with the Head of Financial Crime and Fraud on strategic roadmap and client engagement, as needed
- Control implementation and testing, including TM and fraud rule tuning.
Who You Are
- Completed or commenced study in tech or a related field. Relevant certifications a plus.
- Data analysis experience in a financial institution or organisation focused on financial services.
- Interest in financial crime and fraud detection within the banking or finance industry.
- Confidently familiar with data analysis tools such as SQL and Snowflake.
- Experience with AI/machine learning applications in financial crime detection and fraud prevention is a plus.
- A proactive and self-motivated mindset with a commitment to continuous improvement.
- Strong analytical skills and the ability to work with large datasets.
- Experience with rule testing, tuning, development and deployment a plus.
- Excellent communication, documentation and problem-solving skills.
- Interested in joining a software development and engineering lead company, with potential to advance in that area.
InclusionTo build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.