Agencja pracy - Sel-work.
The main tasks are:
- Building perspective credit models;
- Developing and implementing automated risk scorecards;
- Developing and implementing decision models ford credit risk and fraud.
Prerequisites for the job are:
- PhD degree in a quantified field (Math, Computer Science, Statistics, Biostatistics, Engineering, Physics, etc.);
- Knowledge of Kaggle;
- Understanding of design, building and implementing regular and automated scorecard models;
- Ability to Apply AI / machine learning and other techniques to minimise manual intervention;
- Understanding and having real experience with statistical analysis, algorithm development, and advanced machine learning techniques;
- A proven, demonstrable track record of experience solving real problems using data mining;
- Strong technical skills regarding data analysis, statistics and programming;
- Knowledge of one of these technologies ( Python, R, SQL, Java, Scala, Bash);
- Knowing Matlab, SAS;
- Knowing HBase, MapReduce, Hive, Pig, Spark, Splunk;
- Fluent level of english.
Oferujemy
Salary: 12000 -15000 PLN (B2B)
Other Benefits:
- Attractive remuneration, trainings and professional career growth;
- Unique experience in Fin-Tech industry, with a leading, fast-growing company, that excels in employing technical advantage in marketing, distribution and risk management of product suite;
- Good atmosphere at work and comfortable working environment;
- Multisport card;
- Private medical care;
- Possibility of partly remote work and flexible working hours.
Employment conditions: B2B contract
When does the job start?: As soon as possible
