Staff Data Scientist

Lead and manage data science projects, ensuring timely delivery and alignment with business goals. Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making. Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives. Collaborate with cross-functional teams to understand data needs and provide actionable insights. Ensure data quality and integrity through regular audits and validation processes. Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement. Design, develop and maintain data driven solutions for LE risk management. Makes sound decisions that balance risk, user experience and financial performance Develop automated system/process and algorithms that could streamline strategy/solution building process and generate good business results Guide and mentor junior team members on day-to-day delivery Partner with Product and Business Unit organization to meet Product launch roadmap deadlines as well as rising roadblocks Presentation to senior management within Risk and Business Unit, even external Partners on core strategy changes, integration requirement or risk management best practice Managing conversion rate, loss target and customer experience 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Strong analytical skills with hands on experience on predicative modeling, data mining, as well as analyzing large, multi-dimensional data sets Proven track record of driving results in a fast-paced and constantly changing environments Fluent in SQL/ R / Python/ Notebooks/ Teradata or other relational database languages is a must Experience with one or multiple following will be highly desirable: Jupyter, Hadoop/Hive, BigQuery Experience in Advanced Analytics and Machine learning is a big plus Polished communication and influence skills to collaborate with cross functional teams. Presenting in a clear and concise manner and reach alignment on how to execute risk strategies “Can-do” attitude, energetic personality, ability to work well under pressure in a fast-paced environment to meet deadlines Must handle multiple priorities with a strong attention to detail and should possess strong analytic and problem solving skills Excellent written, verbal, and presentation skills Data driven mindset with a Master's or higher degree in any quantitative discipline such as Engineering, Computer Science, Statistics or Mathematics 8 years or plus working experience in Fintech/Payment industry/Risk Management/ consultancy