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We Want You!
1.Work with complex datasets to build and refine risk analysis framework. Translate data into meaningful insights and predictive financial behavior.
2.Support in producing analysis reports for management team.
3.Partner up with data scientists, analysts and product managers to ensure the accuracy and practicality of analysis results.
4.Give suggestions of risk control to end customers.
1.Bachelor’s degree or above in statistics, mathematics, finance, economics or related fields. – Passion for the finance industry and big data.
2.Proficiency in at least one programming languages like R, SAS, Matlab and SQL.
3.Quick learner and self-motivated. Attention to details and results.
4.Demonstrated teamwork and excellent communication skills.
5.Language skills: Proficiency in Mandarin and English.
1.Design customer acquisition and market expansion plans based on IceKredit’s current business strategies and development goals.
2.Establish new strategic partnerships with Internet finance corporations such as P2P lending companies and consumer finance companies, while maintaining existing relationships.
3.Acquire thorough knowledge about IceKredit’s strengths in credit assessment using Big Data Technologies and build close business cooperation with partners.
4.Create and execute innovation plans, as well as achieving desirable business negotiations.
5.Make keen judgments about the market and react quickly, seizing any opportunities to develop IceKredit’s product applications and distribution.
1.Minimum of 5 years of business development/sales experiences in Software, Services, or Solutions, with strong market penetration and project monitoring skills, as well as business negotiation and communication skills.
2.Rich client resources in Banking, Consumer Finance, P2P or small lending companies are preferred.
3.Familiarity with Internet Finance, knowledge of the industry and products, and insights on Big Data credit assessments are preferred.
4.A minimum of Bachelor’s degree is required.
1.Extract and thoroughly analyze large piles of data.
2.Build and test big-data models, assisting in the perfection of models and updating of machine-learning algorithms.
3.Study the applications of machine-learning algorithms in different risk-control scenes, producing innovative and authentic ideas.
4.Cooperate in project plans to meet client needs, responsible for onsite model-building if necessary.
5.Perform other necessary duties required by the supervisor.
1.A Master’s degree in Computer Science, Mathematics, Statistics, or other related fields is required. **Exceptions may apply in special circumstances.**
2.2 or more years of working experience is preferred.
3.Proficient in programing tools such as R and Python; experience with software engineering and operational optimization is preferred.
4.Knowledgeable of basic statistics and principles behind frequently-used machine-learning algorithms, proficient in their usage.
5.Knowledgeable of MapReduce distributed computation; experience with big data processing on platforms such as Spark and Hadoop is preferred.
6.Candidates with publications in related fields are preferred.
7.Candidates with personal blogs or accounts with Github, Kaggle are preferred.
8.Insightful into data; keen and patient.
9.A curious learner who is passionate about new technology.