Data Scientist (Contract)

Tookitaki is reshaping the landscape of financial crime detection and prevention for both banks and fintechs. What sets Tookitaki apart as a trailblazer in this domain is our commitment to enhancing risk coverage. We achieve this by democratizing AML (Anti-Money Laundering) insights through a privacy-protected federated learning framework, fueled by a collaborative ecosystem of AML experts.

Our unique approach to AML is driving robust growth, and we proudly collaborate with top-tier FinTech companies and banks. This collaboration underscores the credibility and effectiveness of our product. Additionally, the support from leading global investors further solidifies our position, attesting to both stability and continuous growth. Our achievements are acknowledged by esteemed organizations like the World Economic Forum, which recognized us as a Technology Pioneer.

Currently, we maintain a global presence with offices in Singapore, India, Taiwan, the UK, and the US. Our dynamic team, comprising 120+ professionals and counting, is at the heart of our success.

Job Title: Data Scientist (6 months Contract)
Reporting to: Data Science Manager, Forward Engineering

Location: Singapore

Our ideal candidate

We seek a data scientist with a profound interest in both theoretical and applied machine learning, thriving in a dynamic work environment. The ideal candidate should possess 2+ years of experience in the predictive analytics/forecasting realm, having successfully tackled real-world challenges. Preference will be given to candidates with expertise in transactional anomaly prediction and operational risk modeling. As this role involves client interaction, excellent communication skills are essential. The candidate should be adept at articulating complex models and analyses in a clear and concise manner.

Responsibilities:

• Thoroughly understanding business challenges, determining predictive objectives, and articulating the value proposition to clients.
• Analyzing vast, intricate, multidimensional datasets to derive business-relevant features
• Grasping the mathematical underpinnings of algorithms and making informed choices among them.
• Applying advanced techniques such as stacking and ensemble methods to enhance model accuracy.
• Converting data access, transformation, and movement requirements into actionable functional specifications and designs.
• Creating logical and physical data flow models for ETL applications.
• Documentation and training for stakeholders.
• Effective communication with clients to manage expectations.

Desired Technical Requirements:

• Proficiency in Python for developing production-ready code.
• Experience with Scala is advantageous.
• Familiarity with big data technologies like Spark and Hadoop is highly preferred.
• Knowledge of SQL or other database systems.

Desired Non-technical Requirements:

• Exceptional written and verbal communication skills.
• Enthusiasm for collaborating with startups.
• Strong team player mentality.