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ING Hubs Poland
warszawa
We are looking for you, if you have: A degree (MSc or PhD) in a quantitative/numerical field, Minimum 3 years’ of experience with credit risk models, Knowledge of statistical tools and modelling techniques, Programming experience in SAS/ Python or similar language, English level – B2/C1. You'll get extra points for: Knowledge of IRB and/or IFRS
Źródło oferty: ING Hubs PolandING Hubs Poland
warszawa
We are looking for you, if you have: A degree (MSc or PhD) in a quantitative/numerical field, Minimum 5 years’ of experience with credit risk models, Knowledge of IRB and/or IFRS9 models and regulations, Knowledge of statistical tools and modelling techniques, Programming experience in SAS/ Python or similar language, English level – B2/C1. You
Źródło oferty: ING Hubs PolandAvenga
warszawa
Senior Data Scientist, Generative AI Products, Digital Transformation FTE: 1 Duration: 6 months Working hours: 8 hours with so-called overlap from 16:00 -20:00 CET. Experience: senior English: B2/C1/C2 Remote work: YES Recruitment process: Technical verification (1h) and Meeting with future manager Position description As a Senior Data Sci
Źródło oferty: AvengaNeontri
warszawa
technologies-expected : Python Hadoop Apache Spark about-project : Aktualnie do naszego klienta, który jest wiodącym liderem w branży płatniczej - poszukujemy Senior Machine Learning Engineer z Pythonem i znajomością (nawet niewielką) tematyki Big Data. responsibilities : Będziesz mógł/a pracować na złożonych systemach rozproszonych i rozwiązywać
Źródło oferty: NeontriThe Stepstone Group Polska sp. z o.o.
warszawa
technologies-expected : Python PyTorch Terraform Sagemaker LLM NLP AWS about-project : The three teams in our streamlined squad are currently working on several LLM-based use-cases to serve jobseekers better fitting jobs and recruiters better fitting talents via semantic search. We are using inhouse-tuned LLMs that we deploy on AWS together with V
Źródło oferty: The Stepstone Group Polska sp. z o.o.The Stepstone Group Polska
warszawa
Who we are At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hir
Źródło oferty: The Stepstone Group PolskaKalepa
warszawa
Who are we? Kalepa is a fully remote startup dedicated to enhancing underwriting performance and driving profitable premium growth for the commercial insurance industry. Kalepa's AI-powered Copilot software enables underwriters to focus on the highest ROI opportunities and quickly evaluate and optimally select risk. Kalepa is backed by IA Ventures
Źródło oferty: KalepaAvenga
warszawa
Senior Machine Learning Engineer, Generative AI Applications FTE: 1 Duration: 6 months Working hours: 8 hours with so-called overlap from 16:00 -20:00 CET. Experience: senior English: B2/C1/C2 Remote work: YES Recruitment process: Technical verification (1h) and Meeting with future manager Position Description As a Machine Learning Enginee
Źródło oferty: Avengawarszawa
We are looking for you if you have: An advanced degree (PhD or Masters) in a quantitative discipline, such as Computer Science, Data Science, Statistics, Mathematics, Physics, Econometrics, Quantitative Finance or related field,
Excellent knowledge of classic machine learning methods: supervised and unsupervised learning, classification, regression, clustering, text mining, etc.,
Profound understanding of deep learning generative AI approaches, especially Large Language Models and their popular applications,
Analytical skills with the ability to critically assess complex models, effectively articulate and document model risk findings,
Minimum 5 years of professional experience in validation or development of machine learning models in a financial institution or related industry,
English verbal and writing proficiency at C1/C2 level,
Excellent communication skills to collaborate with cross-functional teams and present validation results to both technical and non-technical stakeholders,
Experience writing code in Python (R, SAS or other statistical programming language), data processing and advanced visualization,
You are results-oriented, committed to high standards and quality of work.
You'll get extra points for: Understanding of rule-based models as applied in the banking sector,
Experience with the Agile way of working,
Being enthusiastic, open-minded, communicative and a pro-active team player,
Original hobby.
Your responsibilities: Perform independent validation and testing of a range of GenAI and other models across global ING business lines and locations to identify weaknesses and potential risks for the business,
Deep-dive technical review of the models assessing the conceptual soundness and appropriateness of model methodologies, data quality, and model implementation, among others,
Ensure model compliance with regulations, internal policies and industry best practices.
Collaborate closely with cross-functional teams including model developers, risk managers, and stakeholders to address model-related findings and promote best practices.
Stay up to date with industry trends and regulatory guidelines, in particular related to generative AI and advanced analytics models to be able to contribute to the continuous improvement of validation methodologies, standards and automation.
Information about the Team:
Within Model Risk Management Area, we are expanding the Business and Operational Analytics Model Validation (BOAMV) Chapter part of the Global ING BOAMV Tribe, with offices in Amsterdam and in Warsaw.
Warsaw MRO&BOAMV Chapter is a fast growing, energetic, international team of highly qualified Model Risk Experts & Model Validators. The Team supports/guides global and local model communities in execution of the model life cycle activities.
The Global BOAMV is responsible for validating advanced analytics and other mostly non-regulatory models used by ING worldwide. By bringing in our technical and business expertise we assure that models are appropriate for intended use, compliant with internal policies and external regulations and their limitations are well understood by the organization.
Our goal is to ensure a strong model validation and model lifecycle landscape within ING. We strive to bring fresh ideas to life and embrace challenges in a fast changing and complex environments.
We are looking for a colleague with a talent for taking it on and making it happen, and knack for always being a step ahead.
Email Alert for GenAI and Machine Learning Model Validator (Senior Specialist/Expert) prace w warszawa
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