Duties and responsibilities:

1. Key objectives;

(1). Ensure analytical support of fraud and violation detection in all areas of the business;

(2). Design and adjust processes so that fraud cases are prevented or identified timely;

(3). Diligent follow-up with analysis for abnormal trend/case and prevention of repeated loan taking by identified fraudsters (blacklists).

2. Actively create fraud and risk related analysis and reports with tools like Python, Spark, SQL and Gephi (with complexity relative to your job grade);

3. Keep track of measures which were proposed to be taken on detected fraud activities/violation,

monitor the performance and ensure that the fraud activities are well followed up;

4. Contribute ideas on fraud detection;

5. Explore the possibilities for development and application of machine learning and other advanced data exploration/visualization techniques in Antifraud (sr. level);

6. Proactively cooperate with other risk departments and IT (Collections, UW, Big Data) to increase efficiency of your work (sr. level).

Requirements:

1. Bachelor or Master Degree, preferably with major in Mathematics, Economics, Computer Science;

2. Experience with data analysis from school or internship is a must;

i. For sr. level at least 2 years of active experience with data manipulation;

3. Knowledge of fraud prevention/monitoring in retail banking is big advantage;

4. International experience (e.g. work, study overseas) is an advantage;

5. Knowledge of Python and Spark for data manipulation and analysis, SQL (Oracle, Hive) on a user level is a must;

6. Experience with visualization tools (Gephi, Tableau) is a big advantage;

7. Good data & mathematical intuition;

8. Good communication skills oral and written English;

9. Positive attitude to work.

Staff Welfare:

1. After on boarding, providing supplementary commercial insurance besides the state-stipulated insurance and housing fund;

2. Fast and transparent promotion channel and broad development opportunities;

3. 5-15 days paid annual leave and 5 days paid sick leave. Free annual physical check-up;

4. Attractive employee activities.

上班地址：天津市和平区赤峰道136号天津国际金融中心