Cinderella Media Group
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Recruit Ref: L0489833
Posting Date: 2020-02-21
CT Risk Solutions Limited
CT Risk Solutions Limited

About CT Risk About Solutions Limited

CT RISK leverages financial expertise, technical skills, regulatory compliance and knowledge of risk management to render innovative solutions in the frontier of financial sphere.

More specifically, CT RISK is devoted to inspiring financial institutions and enterprises with value generation by means of risk management and ongoing enhancement, placing focus on the architecture of internal-rating-based system in accordance with Basel II & III standard for the banking industry. In the aftermath of the financial crisis in 2008, CT RISK has assisted a number of banks in Asia with reengineering their wealth management infrastructure in pursuit of adherence to ever stricter regulatory requirements. The progress has laid down a momentous milestone amid the industry and spurred the growth of wealth management business.

CT RISK has been dedicated to professional advisory on financial engineering, quantitative modelling, compliance overhaul and RegTech development in tandem with the new paradigm of financial markets. All our customers are treated as strategic partners in the dynamics of financial development.

Quantitative Associate/Trainee

Job Duties

  • Assist in applying advanced financial concepts and numerical methods to develop financial models and analytical tool
  • Assist in the development and maintenance of quantitative trading process
  • Manage and analyse large, complex data sets using a variety of statistical tools and techniques
  • Make use of database to provide concise evaluation and communicate the outcomes/potential implications
  • Keep abreast of developments in quantitative risk management


  • Degrees related to Engineering, Finance or Computing are desirable
  • Working on projects across the financial analytics lifecycle including origination, maintenance and collections
  • Knowledge in analytics and decision science theories including regression techniques, classification, time series forecasting, neural nets, segmentation, cluster analysis, etc.
  • Strong programming skills in VBA, Java and/or C++, SQL Server, Python and/or knowledge of MS Excel
  • Familiarity with technology and comfort in using it to find innovative and efficient solutions to analytical problems
  • Good interpersonal and communication skills
  • Good command of English, Cantonese and Mandarin
  • Working experience in the financial industry not necessary but preferable

A competitive remuneration package including 5-day work, annual leave, medical benefits, performance bonus and rewarding development opportunities will be offered to the right candidate.

Please send your application letter, CV, current and expected salary to

Banking / Finance / Securities / Investments 
Job Position Level:
Employment Term:
Full Time 
Min. Edu. Level Req:
Total Working Exp:
  • Five-Day Work
  • Medical Insurance
  • Performance Bonus
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