Rodzaj pracy: Full time
Rodzaj umowy: Permanent
Ilość wakatów: 1
Minimalne doświadczenie: Three and five years
Wykształcenie: Bachelor
Branża: Jobs in Data Science / Data Analytics, Jobs in IT - Project Management / Consulting, Jobs in IT - Software Development / Analysis
Project information:
- Industry: Finance
- Type of projects: Centralise the data and build the architecture for risk modelling validation and reporting risk across Global regions
- Location: Cracow, remote
- Project language: English
- Start date: depending on candidate’s availability
Project scope:
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify valuable data sources and automate collection processes
- Identify, analyse, and interpret trends or patterns in complex data sets
- Data quality management, interact with data modelling team and provide clean good quality data ready for analytics
- Build and maintain effective working relationships with IT & System owners, as well as quantitative analysts within Global Risk Analytics
- Develop and implement databases, data collection systems, data analytics that optimizes effective data management and quality
- Undertake preprocessing of structured and unstructured data
- Filter and ’clean’ data by reviewing structured and unstructured data
- Analyse the data sources and provide solutions in terms of results, bring out the business interpretation of the results and explore better possibilities of coming with an alternate approach as per the requirement
- Locate and define new process improvement opportunities
- Support junior team members in terms of delivering assigned tasks
Competence demands:
- Bachelor’s degree IT or in numerate subject, e.g. mathematics/ statistics/ economics or equivalent experience; Master’s degree preferred
- Technical knowledge of SAS DI, Base SAS
- Knowledge of any of the following technologies will be a plus: Python, Hadoop Big Data, Hive databases, Tableau, BI Tools, AWS Cloud etc.
- Preferable knowledge/experience/exposure of banking Retail/wholesale credit risk
- Proven ability to manage high volume data with embedded data quality procedures
- Proven ability to produce clear summaries and reports from complex factual information, including both written documentation and graphical material
- Preferably, familiarity with a balance sheet, set of accounts, bank stress testing including loss and risk estimation techniques is preferred
- Excellent communication skills with technical and non-technical (senior entity management around the globe) counterparts; being able to ’translate’ between the two worlds
- Good organizational, analytical, problem-solving and project management skills
- Fluent English
We offer:
- Opportunity to participate in large-scale projects for one of the largest banking and financial services institution in the world
- Stable employment contract (B2B, regular employment contract)
- Good working atmosphere in a harmonious team
- Multisport card and private medical care (Signal Iduna)
Prosimy o aplikowanie poprzez przycisk znajdujący się po prawej stronie ogłoszenia.
Job Description
Project information:
- Industry: Finance
- Type of projects: Centralise the data and build the architecture for risk modelling validation and reporting risk across Global regions
- Location: Cracow, remote
- Project language: English
- Start date: depending on candidate’s availability
Project scope:
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify valuable data sources and automate collection processes
- Identify, analyse, and interpret trends or patterns in complex data sets
- Data quality management, interact with data modelling team and provide clean good quality data ready for analytics
- Build and maintain effective working relationships with IT & System owners, as well as quantitative analysts within Global Risk Analytics
- Develop and implement databases, data collection systems, data analytics that optimizes effective data management and quality
- Undertake preprocessing of structured and unstructured data
- Filter and ’clean’ data by reviewing structured and unstructured data
- Analyse the data sources and provide solutions in terms of results, bring out the business interpretation of the results and explore better possibilities of coming with an alternate approach as per the requirement
- Locate and define new process improvement opportunities
- Support junior team members in terms of delivering assigned tasks
Competence demands:
- Bachelor’s degree IT or in numerate subject, e.g. mathematics/ statistics/ economics or equivalent experience; Master’s degree preferred
- Technical knowledge of SAS DI, Base SAS
- Knowledge of any of the following technologies will be a plus: Python, Hadoop Big Data, Hive databases, Tableau, BI Tools, AWS Cloud etc.
- Preferable knowledge/experience/exposure of banking Retail/wholesale credit risk
- Proven ability to manage high volume data with embedded data quality procedures
- Proven ability to produce clear summaries and reports from complex factual information, including both written documentation and graphical material
- Preferably, familiarity with a balance sheet, set of accounts, bank stress testing including loss and risk estimation techniques is preferred
- Excellent communication skills with technical and non-technical (senior entity management around the globe) counterparts; being able to ’translate’ between the two worlds
- Good organizational, analytical, problem-solving and project management skills
- Fluent English
We offer:
- Opportunity to participate in large-scale projects for one of the largest banking and financial services institution in the world
- Stable employment contract (B2B, regular employment contract)
- Good working atmosphere in a harmonious team
- Multisport card and private medical care (Signal Iduna)
Additional Information
- Last updated
- Employment type
- Full time
- Contract type
- Permanent
- Number of vacancies
- 1
- Min. experience
- Three and five years
- Min. education
- Bachelor
- Industry / category
- Jobs in Data Science / Data Analytics, Jobs in IT - Project Management / Consulting, Jobs in IT - Software Development / Analysis
Employer legal information
The Personal Data Controller is Cyclad Sp. z o.o., ul. Chłodna 48/1, 00-872 Warszawa, e-mail: office@cyclad.pl, contact with the Data Protection Officer is available via e-mail: IOD@cyclad.pl. Personal data collected through job applications (CV) within the scope provided for in labor regulations shall be processed in order to allow performance of the ongoing recruitment pursuant to Art. 6(1)(a) of Regulation (EU) no. 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of individuals with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (further referred to as GDPR). In case of giving consent to processing of data for future recruitment processes – personal data shall be processed under the consent, pursuant to Art. 6(1)(a) of the GDPR. If the Application form contains data referred to in Art. 9(1) of the GDPR, it shall be necessary to have the candidates consent for the processing of such data (Art. 9(2)(a) of the GDPR). The consent can be revoked at any time. Withdrawal of the consent shall not affect the lawfulness of the processing that had been performed under the consent prior to its withdrawal.
Personal data provided by the candidate related to:
- participation in a selected recruitment process will be stored until the recruitment process is completed for a given position,
- participation in future recruitment processes will be stored until the candidate's consent to the processing of their data for this purpose is withdrawn, no longer, however, than for 5 years since the last update of the candidate’s data.
Personal data may be disclosed to employees or associates of the Company, entities providing support to the Company on the basis of outsourced services or in accordance with data processing agreements, to entities authorized under the law, as well as to entities collaborating with the Company within the scope of job placement, in order to conduct recruitment processes. After the employee’s consent, personal data may also be disclosed to a potential employer for whom the recruitment process is being conducted.
Submission of the candidate’s personal data within the scope under Art. 221 of the Labor Code is obligatory for participation in the recruitment process. Submission of other data by the candidate is voluntary. No submission of personal data within the required scope or
objection to the processing of such data shall result in lack of possibility to include the Application in the recruitment processes conducted by the Company.
The candidate has the right to access and rectify the contents of their data, remove such data, limit its processing, transfer such data, submit objection to the processing and revoke the consent at any time, without affecting the lawfulness of the processing conducted under such consent before it was withdrawn. The candidate also has the right to file a complaint with the President of the Office for Personal Data Protection when they consider the processing of their personal data to be a violation of the provisions of the GDPR.
Personal data provided by the candidate related to:
- participation in a selected recruitment process will be stored until the recruitment process is completed for a given position,
- participation in future recruitment processes will be stored until the candidate's consent to the processing of their data for this purpose is withdrawn, no longer, however, than for 5 years since the last update of the candidate’s data.
Personal data may be disclosed to employees or associates of the Company, entities providing support to the Company on the basis of outsourced services or in accordance with data processing agreements, to entities authorized under the law, as well as to entities collaborating with the Company within the scope of job placement, in order to conduct recruitment processes. After the employee’s consent, personal data may also be disclosed to a potential employer for whom the recruitment process is being conducted.
Submission of the candidate’s personal data within the scope under Art. 221 of the Labor Code is obligatory for participation in the recruitment process. Submission of other data by the candidate is voluntary. No submission of personal data within the required scope or
objection to the processing of such data shall result in lack of possibility to include the Application in the recruitment processes conducted by the Company.
The candidate has the right to access and rectify the contents of their data, remove such data, limit its processing, transfer such data, submit objection to the processing and revoke the consent at any time, without affecting the lawfulness of the processing conducted under such consent before it was withdrawn. The candidate also has the right to file a complaint with the President of the Office for Personal Data Protection when they consider the processing of their personal data to be a violation of the provisions of the GDPR.
