Qureos Mentor

Dicetek LLC

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 Strong IT Business Analysis experience in banking &amp; Wealth Products
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 Proven ability to write clear, structured, testable requirements
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 Hands on experience with agile delivery and backlog management
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 Exposure to core banking, wealth platforms, or system integrations
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 Proficiency with tools such as Jira, Confluence, and process modelling tools
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 Experience in implementing Finnova is a plus
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 Experience with Incore Sobaco is a plus
 
 
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 Swiss or EU private banking implementations
 
 
 Experience in implementing Finnova
 
 
 Experience with Incore Sobaco
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IT Business Analyst-Wealth Products

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 Summary Of Role
 
 
 
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 Co-development of analytical engines based on statistical and machine learning algorithms
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 Creation of sustainable digital solutions integrated with existing IT infrastructure in collaboration with business
 
 
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 Responsibilities
 
 
 
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 Conducts analytical experiments methodically with guidance from technology lead to help solve various problems and make a true impact across multiple domains and situations
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 Process relevant data sources and build clear data-cleaning pipelines to feed data points and variables to the models in a well-structured format
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 Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy for visualization to business
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 Analyze data for trends and patterns, apply statistical and machine learning algorithms, and interpret data with a clear objective in mind in line with project goals and milestones
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 Support the deployment of analytical models into existing IT infrastructure by collaborating with DevOps engineers and Product owners
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 Maintain delivered solutions sustainability after the development phase
 
 
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 ﻿Required Qualifications &amp; Experience
 
 
 
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 Bachelor's or Master's degree in information systems, data analytics, data science, computer science, economics, risk management or another quantitative related field
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 Experience with Excel, SQL, Python, basic BI-development
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 Proficiency in data processing (Pandas), statistical analysis, and machine learning algorithms
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 Knowledge in building data processing pipelines &amp; ETLs
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 Experience in implementing predictive engines with a focus on time-series forecast
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 Experience in writing API calls based on specifications
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 Experience in automated testing, ability to write mock and unit tests to test both model inputs and outputs
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 Effective collaboration, experience in working with Scrum/Agile teams &amp; task tracking
 
 
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 Additional Considerations
 
 
 
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 The preferred profile is "all-the-way-rounder" rather than a person with deep expertise in only something specific
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Data Scientist (Arabic Speaker)

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 Role Overview
 
 
 We are seeking a highly skilled and motivated Data Engineer with 5&ndash;7 years of experience to design, build, and optimize scalable data pipelines and platforms. The ideal candidate will have strong expertise in SQL, Databricks, Confluent (Kafka), Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS), with a solid understanding of banking domain processes and regulatory considerations. This role involves working closely with cross-functional teams to enable data-driven decision-making across critical banking functions.
 
 
 Key Responsibilities
 
 
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 Design, develop, and maintain robust, scalable data pipelines using Azure Data Factory (ADF) and Databricks
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 Implement batch and real-time data ingestion frameworks leveraging Confluent Kafka
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 Build and optimize data models, transformations, and ETL/ELT pipelines using SQL and Spark
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 Develop and manage data storage solutions in Azure Data Lake Storage (ADLS)
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 Ensure high data quality, integrity, and governance standards
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 Support data integration across systems including core banking and CRM
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 Optimize performance of large-scale datasets
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 Collaborate with stakeholders to translate requirements into solutions
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 Ensure compliance with banking regulations and data privacy
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 Troubleshoot production issues
 
 
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 Required Skills &amp; Experience
 
 
 
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 Strong expertise in SQL (complex queries, tuning, modeling)
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 Hands-on experience with Databricks, Spark, PySpark
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 Experience with Confluent Kafka and event-driven architecture
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 Experience with Azure Data Factory (ADF)
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 Experience with Azure Data Lake Storage (ADLS)
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 Understanding of data warehousing concepts
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 Familiarity with CI/CD and DevOps for data platforms
 
 
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 Domain Knowledge (Preferred)
 
 
 
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 Experience in banking or financial services
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 Understanding of core banking systems
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 Knowledge of payments, lending, wealth management
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 Awareness of regulatory frameworks (KYC, AML)
 
 
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 Soft Skills
 
 
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 Strong analytical and problem-solving skills
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 Excellent communication and stakeholder engagement
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 Ability to work in fast-paced environments
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 Strong ownership and collaboration mindset
 
 
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 Qualifications
 
 
 
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 Bachelor&rsquo;s or Master&rsquo;s degree in relevant field
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 Azure/Data engineering certifications preferred
 
 
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 Good to Have
 
 
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 Experience with Python or Scala
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 Exposure to data governance tools
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 Knowledge of APIs and microservices
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 Experience with BI tools like Power BI
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Data Engineer

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 The resources will support development and deployment of
 
 computer vision and video analytics solutions
 
 for CCTV use cases such as:
 
 
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 Queue monitoring and wait-time estimation
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 Crowd and anomaly detection
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 Operational insights generation
 
 
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 Required Skill Set
 
 
 
 We Are Specifically Looking For Profiles With
 
 
 
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 Strong experience in Computer Vision, Machine Learning, and Video Analytics
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 Hands-on expertise in Python, TensorFlow, PyTorch, Scikit-learn
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 Experience with object detection, tracking, and image processing
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 Strong working knowledge of NVIDIA ecosystem (Jetson, TensorRT, DeepStream)
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 Proven experience in edge deployment and on-prem AI environments
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 Understanding of MLOps, model optimization, and monitoring
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 Prior exposure to CCTV / surveillance analytics use cases (highly preferred)
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AI Data Scientists (CCTV Analytics)

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 Key Responsibilities
 
 
 
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 Utilize Python Notebooks, SSIS, Fabric Builds, Power BI, and other data engineering tools for data cleansing and quality tasks.
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 Implement data cleaning processes to ensure accuracy and completeness of datasets.
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 Collaborate with cross-functional teams to identify data quality issues and recommend solutions.
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 Develop and maintain data quality metrics and reports to track progress.
 
 
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 Qualifications
 
 
 
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 Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
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 Proven experience with Python Notebooks, SSIS, Fabric Builds, Power BI, and equivalent data engineering tools.
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 Strong understanding of data quality principles and best practices.
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 Excellent analytical and problem-solving skills.
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 Ability to work independently and collaboratively in a team environment.
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Data Scientists (SC3)- Data Cleansing & Quality (DQ)

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 We are currently seeking a skilled Data Modeler to join our team and support our data modelling and architecture efforts. If you have experience with tools such as Erwin, ER Studio, or similar data modelling tools, we'd love to hear from you!
 
 
 
 Key Responsibilities
 
 
 
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 Design and develop conceptual, logical, and physical data models
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 Collaborate with cross-functional teams to gather and understand data requirements
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 Optimize data models for performance and scalability
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 Ensure data integrity and quality throughout the data modelling process
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 Provide guidance and support on data modelling best practices
 
 
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 Qualifications
 
 
 
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 Proven experience working with data modelling tools such as Erwin, ER Studio, or equivalent
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 Strong understanding of data modelling concepts and methodologies
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 Excellent problem-solving and analytical skills
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 Ability to work effectively in a fast-paced environment
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 Good communication and interpersonal skills
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Data Modeler- Data Modelling & Architecture

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 We are looking for a detail-oriented and analytical Business Analyst with strong expertise in data modelling tools such as Erwin, ER Studio, and equivalent platforms. The ideal candidate will bridge business requirements and technical solutions by translating complex data needs into structured models, ensuring data accuracy, consistency, and quality across systems.
 
 
 
 Key Responsibilities
 
 
 
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 Gather, analyze, and document business requirements from stakeholders.
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 Translate business needs into logical and physical data models.
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 Design and maintain data models using Erwin, ER Studio, or similar tools.
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 Collaborate with data architects, developers, and business teams to ensure alignment.
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 Perform data analysis, data mapping, and data lineage documentation.
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 Ensure data integrity, normalization, and standardization across systems.
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 Support data governance and data quality initiatives.
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 Create and maintain data dictionaries, ER diagrams, and metadata repositories.
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 Identify process improvement opportunities and recommend data-driven solutions.
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 Assist in UAT (User Acceptance Testing) and validate data-related requirements.
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 Provide insights through reporting and data analysis to support decision-making.
 
 
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 Required Skills &amp; Qualifications
 
 
 
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 Bachelor&rsquo;s degree in information technology, Computer Science, Business Administration, or a related field.
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 3&ndash;8 years of experience as a Business Analyst, preferably in data-centric roles.
 
 
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 Hands-on Experience With
 
 
 
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 Erwin Data Modeler
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 ER Studio
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 Other data modelling tools (e.g., PowerDesigner, Oracle SQL Developer Data Modeler)
 
 
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 Strong Understanding Of
 
 
 
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 Data Modelling (conceptual, logical, physical)
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 Database design principles
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 ER diagrams and normalization techniques
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 Proficiency in SQL for data analysis.
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 Experience in data mapping, ETL processes, and metadata management.
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 Familiarity with data governance frameworks and data quality tools.
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Business Analyst- Data Modelling & Architecture

Join Dicetek LLC and explore 11   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.