Работа Data Warehouse Developer в София
131 нови обяви за работа
-
About the role: We are on a mission to bring subprime lending to the Fintech 2.0 horizon! Our way forward is to provide sustainable, scalable and embedded financial solutions to a wider range of customers that are often excluded by the traditional b...
-
Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices and uncover fraud. We also prevent fraud, simplify healthcare, and provide...
-
Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance...
-
Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance...
-
Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance...
-
Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance...
-
Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance...
-
Why Ingram Micro? Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products a...
-
Country Master Data Administrator We are Dufry Sofia, part of Avolta AG – a Swiss company with an integrated portfolio of duty-free and travel retail stores, food & beverage outlets, and other hybrid concepts located at airports, motorways, cruise...
-
Are you ready to kick-start your career in a global company? Ingram Micro Bulgaria’s Internship Program is here to offer you a 6-month paid hybrid internship that combines real-world experience, professional training, and mentorship to set you up f...
-
Position Overview The Data Scientist – Predictive Analytics applies advanced analytics, data science, and machine learning techniques to generate actionable insights and support strategic decision-making across the organization. This role partners ...
-
Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance...
-
Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance...
-
About the role: We are on a mission to bring subprime lending to the Fintech 2.0 horizon! Our way forward is to provide sustainable, scalable and embedded financial solutions to a wider range of customers that are often excluded by the traditional b...
-
At Destination Workplace, we believe everyone deserves to thrive in a workplace that inspires growth, purpose, and collaboration. That's why were partnering with a leading global organization in the chemical and manufacturing industry to find Master...
Какво е това?
Това е изчисление на Yox за приблизителната работна заплата за тази позиция. Посочената стойност не е потвърдена от работодателя и може да се различава с реалната стойност на предлаганото възнаграждение.
Как се смята?
Изчислена Заплата е приблизителната стойност на възнаграждение за конкретната позиция на базата на данни от стотици хиляди обявени заплати по професия за последните 2 години. В Yox се предоставя и информация за заплатите от служители, която също е част от изчислението.
Защо тази информация е полезна?
Можеш да разбереш приблизителната заплата за тази позиция. Можеш и да филтрираш списъкът с обявите за работа по размер на работната заплата.
Пълно описание
We are on a mission to bring subprime lending to the Fintech 2.0 horizon! Our way forward is to provide sustainable, scalable and embedded financial solutions to a wider range of customers that are often excluded by the traditional banks! We are looking for a passionate Data Scientist to join our Risk Function and take ownership of the full lifecycle of our consumer credit risk models. You will develop, calibrate and maintain scorecards and IFRS 9 models, monitor performance, and ensure full documentation and regulatory compliance. This is a high-impact role where you will help shape the entire risk modelling framework of a highly ambitious financial institution.
Key Responsibilities:
Risk Modelling & Analytics
- Develop, calibrate, and maintain consumer credit risk models, including:
- Application scorecards
- Behavioral scorecards
- Risk segmentation and affordability models
- Build and maintain PD, LGD, and EAD models for IFRS 9 Expected Credit Loss (ECL) calculations.
- Use advanced ML methods (e.g., CatBoost, gradient boosting) where suitable for challenger models.
IFRS 9 Modelling
- Maintain and enhance the IFRS 9 ECL model, including staging logic, macroeconomic overlays, and model calibration.
- Support the monthly and quarterly provisioning cycles with high-quality analytics.
Model Monitoring & Validation
- Perform regular model monitoring: Gini/ROC, KS, calibration, PSI/CSI, back-testing.
- Conduct annual validation and coordinate external validator/auditor reviews.
- Identify model weaknesses and propose improvements or recalibrations.
Documentation & Governance
- Maintain complete model documentation (methodology, data, assumptions, validation results).
- Ensure compliance with internal Risk Policies, IFRS 9 guidance, and audit requirements.
- Prepare model performance updates for the Risk Committee.
Data & Systems
- Work with Data Engineering to improve data pipelines and ensure data quality.
- Build reproducible analytical workflows in Python/R, SQL.
- Support deployment of models into production systems and decision engines.
Requirements:
Technical Skills
- 2+ years of experience in credit risk modelling, data science, or advanced analytics.
- Strong programming skills in Python (mandatory) plus solid SQL.
- Experience and good understanding of tree-based models, boosting, sampling techniques, deep learning
- Hands-on experience building:
- Logistic regression scorecards with WOE/IV
- PD/LGD/EAD models
- IFRS 9 provisioning models is a plus
- Strong understanding of model monitoring metrics: Gini, ROC, KS, PSI, calibration curves.
Education
- Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, Econometrics, Finance, Physics or similar.
Soft Skills
- Excellent analytical and problem-solving skills.
- Strong attention to detail and documentation discipline.
- Ability to work cross-functionally (Risk, Finance, IT, Product).
- Good communication skills in English.
We offer
- A future in a dynamic company passionate about innovation and fintech services
- Potential growth based on performance
- Opportunity to experiment with and apply innovative scoring methodologies
- Very friendly, supportive and non-conflict working environment
Please be informed that only short-listed candidates will be contacted. All applications will be treated in strict confidentiality
Средна заплата за сектора
5,230 лв / месец (изчислена от Yox)
Средна работна заплата за града изчислена от YOX
500 лв / месец
700,000 лв / месец
Мнения и оценки от служители
Изследовател на данни/изследователка на данни
Изследователите на данни намират и тълкуват богати източници на данни, управляват големи количества данни, обединяват източници на данни, осигуряват съгласуваност на наборите от данни и създават визуализации за подпомагане на разбирането на данните. Те изграждат математически модели като използват данни, представят и съобщават констатациите и откритията за данни на специалисти и учени от техния екип и, ако е необходимо, на неспециализирана аудитория, и препоръчват начини за прилагане на данните.
Необходими основни умения
- съставяне на научни или академични документи и техническа документация
- нормализиране на данни
- управляване на изследователски данни
- използване на техники за обработване на данни
- тълкуване на текущи данни
- взаимодейства професионално в научноизследователска и професионална среда
Необходими основни знания
- проучване на данни
- техники за визуално представяне
- извличане на информация
- статистика
- категоризиране на информация
- език за описание на търсене на мрежови ресурси
Финален преглед
Увери се, че информацията е точна и ако всичко е наред натисни „Изпрати“ и твоята кандидатура отива незабавно за преглед в .
При интерес от работодателя очаквайте връзка на посочените от вас контакти.