Data Scientist - Ho Chi Minh City, Việt Nam - Trusting Social

Trusting Social
Trusting Social
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Ho Chi Minh City, Việt Nam

1 tuần trước

Đức Nguyễn

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Đức Nguyễn

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Mô tả
Trusting Social

  • Havana Tower 132 Ham Nghi, District 1, Ho Chi Minh
  • At office
  • Posted 1 day ago
  • Skills:


  • Data Analyst

  • Business Analyst
    Top 3 reasons to join us:
  • Top Salary, Awesome Benefits
  • Premium healthcare for 3 members in family
  • Grab to work, Lunch allowance for all employee

Job description:

For credit card portfolio management, our mission is to optimize credit line management, credit limit setting, and collections.

We utilize our expertise in data science to develop predictive models and analytics that forecast customer behavior and credit risk.

Additionally, we leverage machine learning and AI techniques to identify patterns and insights in transaction data, customer behavior, and marketing campaigns.

By collaborating with other teams, such as product development, marketing, and customer service, we aim to deliver a seamless and personalized customer experience across all touch points.

Ultimately, our goal is to minimize risk and optimize portfolio performance metrics for the benefit of our customers.


Responsibilities:


  • Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability.
  • Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
  • Conducting adhoc analysis and data mining to support portfolio optimization and strategy development.
  • Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
  • Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
  • Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
  • Maintaining uptodate knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
  • Communicating complex analytical findings and recommendations to nontechnical stakeholders, including senior management.
  • Mentoring and coaching junior analysts and data scientists on the team.
  • Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
  • Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
  • Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
  • Utilize statistical and machine learning techniques to identify patterns and trends in financial data
  • Develop and implement datadriven investment strategies that optimize portfolio performance

Your skills and experience:


Requirements:


  • Post Graduate degree (Masters or Ph.
D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred

  • Strong knowledge and handson experience on machine learning, or statistics and experimentation
  • Results oriented with strong analytical and problem solving skills
  • Good business acumen with strong ability to solve business problems through data driven quantitative methodologies
  • The ability to communicate results clearly to technical and nontechnical audiences
  • Demonstrated ability to research and innovate solutions to solve business problems
  • Experience in bank related products such as unsecured personal loans and credit card is preferred

Why you'll love working here:


What we offer:


  • Competitive compensation package, including 13thmonth salary and performance bonuses
  • Comprehensive health care coverage for you and your dependents
  • Generous leave policies, including annual leave, sick leave, and flexible work hours
  • Convenient central district 1 office location, next to a future metro station
  • Onsite lunch with multiple options, including vegetarian
  • Grab for work allowance and fully equipped workstations
  • Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday
  • Unlimited free coffee, tea, snacks, and fruit to keep you energized
  • An opportunity to make a social impact by helping to democratize credit access in emerging markets.

Trusting Social:

Making Financial Inclusion a Reality using Machine Learning and AI

  • Company type
  • Product
  • Company size
employees

  • Country


  • Singapore

  • Working days


  • Monday

  • Friday
  • Overtime policy
  • No OT

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