Data Science Analyst
Data Science Analyst
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Job Description
The Compliance & Internal Audit Department (CIAD) is looking for a junior data analyst based in Sofia with analytical expertise and ability to understand business processes & risks.
The CIAD has been embedding data analytics across the compliance & audit lifecycle for years in close coordination with Compliance Monitoring Department (CMD) which has been pursuing a dynamic implementation of Continuous Control Monitoring. Our department aims to leverage technology to optimize the performance and the effectiveness of internal auditors compliance officers and other business functions.
Your role will mainly include the following:
- Understand compliance audit and business processes risks & control objectives
- Define the necessary analytics for the monitoring identifying the appropriate data for the question at hand
- Examine populations of data using various techniques (e.g. descriptive predictive prescriptive) and raise potential issues (such as identifying attributes that previously were out of reach or discerning relationships and correlations that were never visible)
- Develop schedule and document code. This will require having a good understanding of key system databases group methodologies/policies
- Test the results with end users
- Continuously monitor key risks
- Maintain existing controls
- Provide guidance and assistance to our internal clients
- Contribute to department improvement initiatives
- Build reports & Kpis on activities & results for different committees
- Communicate & present achievements to stakeholders
- Develop the controls with Python and/or to translate existing controls from ACL to Python.
- Develop machine learning workflows using algorithms in Cardabel
Qualifications :
Experience:
- Work experience in data analysis and coding is a plus
- Coding knowledge and experience with programing languages
- Experience using statistical computer languages (Python R) will be a plus
- Technical knowledge of any data analysis tool
- Knowledge in math models and machine learning is considered a plus
- A drive to learn and master new technologies and techniques
Soft Skills:
- Good written & verbal communication skills for coordinating across teams
- Good presentation skills
- Rigorous organized
- Critical thinking
- Flexible ability to change priorities quickly and capacity to handle multiple tasks simultaneously
- Comfortable working in ambiguous and/or stressful situations
- Details and solutions oriented
- Ability to understand business processes and to communicate with non-IT people
- Ability to work independently with limited supervision
Language
- Strong written and oral communication skills in English
- Other languages would be most welcome
Additional Information :
Diversity & Inclusion
LDC is driven by a set of shared values and high ethical standards with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity equity and inclusion.
LDC encourages diversity supports local communities and environmental initiatives. We encourage people of all backgrounds to apply.
Sustainability
Sustainable value is at the heart of our purpose as a company.
We are passionate about creating fair and sustainable value both for our business and for other value chain stakeholders: our people our business partners the communities we touch and the environment around us
What We Offer
We provide a dynamic and stimulating international environment which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world.
Our Benefits
- 25 annual paid leave
- Flexible working hours
- Food vouchers
- Transportation allowance
- Additional medical & dental insurance
- Life insurance
- Sports card with 90/10 coverage
- Various learning & development opportunities
- Yearly performance evaluation plans
- Social clubs & Wellbeing initiatives
- Team buildings & social events
- Employee Referral Program
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
