
Data Analysis Professional
1 week ago
Job Title: Data Analysis Expert
About the Role:
We are seeking a talented data analysis expert to craft and optimise solutions for our enterprise customers. This role will involve working with global data from our suite of leading fraud solutions.
Key Responsibilities:
- Developing and implementing machine learning or rule-based models following best practice, to banking model governance standards
- Defining features that capture evolving fraudster behaviors using strong knowledge of SQL and Python plus quantitative skills
- Streamlining the model training pipeline and analytics workflows by developing internal tools
- Transforming uncertainty into value-add opportunities through curiosity and problem-solving skills
- Delivering industry-leading presentations for external and executive audiences using strong attention to detail and ability to craft a story through data
- Building extensive knowledge of cybercrime – account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud, etc
- Excels in a fast-paced environment with frequently changing priorities by employing multi-tasking and prioritization skills
Requirements:
- Experience in a data science role, ideally within the fraud, risk, or banking/payments domain
- Proficiency in Python and SQL (BI tools such as Super Set, Tableau or Power BI is a bonus)
- Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in ML Ops principles to build scalable and standardized workflows and implement effective ML monitoring systems
- Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail
- Multi-tasking and prioritization skills are essential to excel in fast paced environments
- Demonstrate fluency in English. Any other languages spoken across APAC are a bonus, particularly Japanese
What We Offer:
- Generous holiday allowance
- Optical Assistance policy
- Life & salary insurance
- Electric Vehicle NOVATED Lease Scheme
- 14 weeks maternity/paternity leave
- Wellbeing programs
- Employee Assistance Program
- RECARES days, giving you time to support charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
EEO Employer:
Qualified applicants are considered for employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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