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Location
シンガポール
Salary
Competitive Salary
Job Type
Permanent
Ref
BH-22093-2
Contact
Shannagh Wu
Contact email
Email Shannagh
Posted
約1ヶ月前
Company Overview
A leading top-tier financial institution is seeking a talented Data Scientist to enhance their analytics team. This role offers a unique opportunity to leverage data-driven insights to optimize financial products and services.
 
Job Overview
The Data Scientist will collaborate with cross-functional teams to analyze complex datasets, develop predictive models, and contribute to data-driven decision-making processes. Insights generated will be crucial in optimizing customer experiences and improving operational efficiencies.
 
Key Responsibilities
- Data Analysis: Conduct exploratory data analysis to identify trends, patterns, and anomalies within large datasets.
- Model Development: Design, implement, and validate machine learning models that address various business challenges.
- Collaboration: Work closely with product managers, engineers, and stakeholders to understand business needs and translate them into analytical solutions.
- Data Visualization: Create dashboards and reports that effectively communicate findings to both technical and non-technical audiences.
- Continuous Improvement: Maintain and enhance data infrastructure, ensuring high data quality and integrity.
 
Qualifications
- Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; Master’s or Ph.D. preferred.
- Depending on grading, 3-5 / 5-7 years of experience in data science or analytics roles within the financial sector.
- Proficiency in programming languages such as Python or R; experience with SQL for data manipulation; familiarity with big data technologies (e.g., Hadoop, Spark); Proficiency in language such as Go/GoLang / JavaScript / C/++ will be a bonus.
- Machine Learning Expertise: Strong understanding of machine learning algorithms and their applications in finance.
- Communication Skills: Excellent verbal and written communication skills to present complex data insights clearly.
 
Preferred Qualifications
- Experience with data visualization tools such as Tableau or Power BI.
- Knowledge of statistical modeling techniques and their application in finance.
- Familiarity with cloud-based platforms for data storage and processing.
 
What’s Offered
- A collaborative work environment focused on innovation.
- Opportunities for professional development and career advancement.
- Competitive salary along with a comprehensive benefits package.
 

This is an exciting opportunity for individuals passionate about using data to drive impactful decisions within the financial industry. If you are interested in the above opportunity or other jobs in data science, kindly apply with your updated CV or send to Shannagh Wu at Shannagh.Wu@ethosbc.com


Reg No. R23112660
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