Responsibilities:
- Implement and execute the business analytics strategy for the business, leveraging Big Data, Machine Learning (ML), Artificial Intelligence (AI), and other advanced analytical methods.
- Conduct deep business analysis focusing on areas like fraud detection for early risk indication, Anti-Money Laundering (AML) compliance, and marketing initiatives to drive revenue growth.
- Ensure all data analytics and mining activities are aligned with data governance standards, maintaining data integrity and appropriate data access controls.
- Engage with stakeholders to understand business needs and proactively propose data-driven solutions.
- Innovate and develop rapid prototypes to demonstrate potential solutions, scaling successful prototypes for production.
- Develop advanced and scalable data visualization and Business Intelligence (BI) reporting frameworks to support the expanding business needs and data-centric growth strategies.
Key Requirements:
- To be successful in this role, you should possess the following key requirements:
- Bachelor's or Master's degree in Computer Science, Finance, Business Analytics, or a related field.
- Minimum of 8 years of experience in data science and analytics, with demonstrated expertise in data analytics and data engineering.
- Proficiency in data visualization tools, particularly Power BI, and experience with SQL and Python. Familiarity with cloud-based technologies such as Snowflake is a plus.
- Ability to apply quantitative techniques for problem-solving while also being innovative and creative.
- Strong interpersonal and communication skills, with the ability to build effective partnerships across teams.
- Experience in the financial industry and an understanding of financial markets are highly desirable.
- Proficiency in advanced machine learning techniques, including NLP, Transformer models, LSTM, K-Means, Random Forest, and Gradient Boosting models.
- Strong ability to clearly present analytical findings and insights.
- Capability to manage multiple projects and work effectively in a fast-paced environment.
If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Hanson Tsien at resume@pinpointasia.com and put Senior Data Scientist - Leading Financial Institution in the subject header.
Data provided is for recruitment purposes only.
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