Senior Data Scientist- Australia / NZ

*Senior Data Scientist *

Location: Remote- Must be resident in Australia or NZ with full permanent right to work- applications cannot be considered without this.

Department: Technology and Software Engineering

Employment Type: Full- Time

Minimum experience: 5 – 7 Years (would consider less for the right person)

Compensation: AU $145,000 (base salary)

*Summary: *

Are you enthusiastic about harnessing the power of machine learning and AI to detect anomalies within government registries crucial for KYB AML compliance? Join our team as a Senior Data Scientist specializing in anomaly detection within governmental databases used for anti-money laundering (AML) checks.

*The Opportunity *

Join us in our mission to fortify government registries against financial crimes, employing your expertise in developing advanced ML/AI models for anomaly detection. Your contributions will play a vital role in enhancing the efficacy of KYB AML practices and safeguarding against money laundering risks within these registries.

Responsibilities:

• Model Development: Engineer advanced ML/AI models to identify anomalies within government registries, specifically tailored for KYB AML compliance purposes.
• Data Analysis: Analyze and interpret registry data, uncovering irregularities and deviations indicative of potential money laundering risks.
• Root Cause Identification: Collaborate with stakeholders to pinpoint root causes behind anomalies, utilizing advanced analytics to trace and understand their impact within registry data.

Experience:

Basic Experience:

• Educational Background: Bachelor's or higher degrees in Computer Science, Mathematics, Machine Learning, or relevant quantitative fields.
• Technical Expertise: 3+ years of hands-on experience using ML tools such as Python, R, Spark, TensorFlow, or similar platforms. Experience of Microsoft Azure cloud tooling for AI/ML is preferred.
• Analytical Techniques: Proficiency in machine learning techniques like classification, clustering, regression, statistical inference, as well as experience in data mining and analysis, and working with both structured and unstructured data.
• Critical Thinking: Ability to think critically and identify anomalies within complex datasets, a crucial skill for anomaly detection in government registries.
• Self-Reliance: Happy to work autonomously towards ambitious goals. Able to self-direct, solve problems, and work independently with input from colleagues.

Preferred Experience:

• Advanced Education: A PhD in relevant fields like Machine Learning, Statistics, or Data Science is advantageous.
• Industry Experience: 2+ years of experience in predictive modeling and analysis, especially within government registry data.
• Communication Skills: Strong communication abilities to effectively collaborate and convey insights to diverse stakeholders.
• AML/KYB Background: Experience or familiarity with KYB AML practices and the regulatory environment surrounding governmental registries used for these checks.

About Kyckr

Kyckr is actively addressing the formidable issue of global money laundering, estimated at up to $2 trillion annually. The company serves as a crucial ally to banks and financial institutions by furnishing them with sophisticated tools and quality data to verify their business customers swiftly and accurately in a compliant manner. Kyckr's mission holds significant social impact, as it actively contributes to preventing money laundering, a global issue intertwined with illicit activities such as drug trafficking, human trafficking, and terrorist financing.

Distinguished with accolades such as being a 'Rising Star' in the RiskTech 100 and receiving the 'Most Innovative Technology for Regulatory Compliance' award from the RegTech Insight Awards, Kyckr is currently in the early stages of transforming its platform. The emphasis lies on enhancing flexibility, user-friendliness, and overall quality, the successful applicant will be playing a pivotal role in this evolution.

The team culture is characterized by positivity, supportiveness, and a commitment to delivering excellent service to customers, making Kyckr an appealing destination for those seeking engaging technical challenges within an environment that fosters innovation and creativity.

Benefits

Fully remote – with the option to come into the office when you prefer to do so
Flexible working (work some hours in the evenings when UK team is online and some hours in AU day)
Share options scheme
25 days holiday plus public holidays
Budget for professional development
Competitive maternity and pension policies

Due to the volume of applications received, we unfortunately cannot respond to every unsuccessful application. Applicants selected for interview will typically hear from us within 10-15 days.

** No recruitment agencies please **