- If you have academic degree in Mathematics, Computer Science, Statistics or related field,
- If you have at least 10 years of experience in business intelligence and data science projects or departments, preferably in global financial services industry,
- If you can demonstrate success in stimulating data driven decision making, working as a scrum master in software development projects and as a lead software developer,
- If you have demonstrable experience in leading by influence,
- If you have experience in working in a multi-national, complex organisations in a matrixed environment with a senior management or program management view,
- If you are able to have in depth discussions with data scientists and also able to explain understandably to a broader public,
- If you have strong knowledge of relational databases and optimizing query performance, strong knowledge of Apache Hadoop and Spark, strong knowledge of anomaly detection algorithms (DBSCAN),
- If you are experienced Python programmer and very familiar with modules pandas, sklearn, pyspark, numpy,
- If you have strong knowledge of CI/CD and working with Git, you have experience with writing SQL statements, and in working with Linux systems and command line interface,
- If you are able to develop, implement and continuously improve data pipelines,
- If you have experience with statistical inference,
- If you are creative problem solver that continuously improves insights, organisationally sensitive, hands-on team player,
- If you are able to lead professionals that seek intellectual stimulation and to understand business problems and define relevant solutions,
- If you are highly adaptable in a highly flexible environment
- If you can explain complex subjects to a broad public
- If you have strong resilience; ability to navigate through ambiguity and simplify complexity without losing essence.
- If you are willing and able to travel,
- You are fluent in English, speaking and writing,
- Accreditation for project management such as Agile, Prince2 or PMP,
- Experience in leading operational functions is a plus.
The Analytics Lead manages a team of around 15 people, supporting risk UAT related to our regulatory committed programs, to ensure optimal configuration of the global rule based monitoring systems before go-live. These global systems monitor customer transactions for indicators of financial and economic crime. The tuning, testing and optimization of these systems is a regulatory requirement and requires statistical, investigative, program and operational disciplines to deliver. After go-live the rule based system needs to be calibrated continuously based on analysis conducted by the analytics team.
- contract of employment
type of contract - 9:00 - 17:00
work hours - Zajęcza 4, Warszawa
this is the location of our office
- professional development
- certificates and knowledge development
- training budget
- access to the newest technologies
- international projects
- free English courses
- provate medical care
- 50% funded Multisport Card
- bicycle parking
- chillout rooms
- integration events and Stay Fit program
- stability of employement
- fully equipped workstations
- kitchen
Poznaj
ING Tech Poland
ING Tech Poland
Poznaj wyjątkowy charakter naszej firmy oraz ludzi tu pracujących, dzięki którym zmieniamy świat.
ING Tech Poland dostarcza innowacyjne usługi IT oraz usługi operacyjne dla ING na całym świecie. Nasza główna siedziba mieści się w Katowicach. Posiadamy również oddział w Warszawie. W zakres naszych usług IT wchodzą: bezpieczeństwo IT, hosting, usługi zdalne oraz aplikacyjne. Usługi operacyjne ostarczane są przez dwie jednostki: RiskHub (Warszawa) oraz CardsHub (Katowice). RiskHub jest naszym Centrum Wiedzy Eksperckiej kształtującym przyszłość modelowania ryzyka i analizy danych w Polsce. Z kolei CardsHub odpowiada za cały cykl życia kart płatniczych, zarówno w zakresie technologicznym, jak i operacyjnym.
