... learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods • Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain ...
... using Python. Strong proficiency in Python and object-orientated programming. Familiarity with RESTful API design and implementation. Experience with relational databases such as MySQL, PostgreSQL. Experience with version control systems such as Git. Familiarity with Docker for containerisation. Experience with microservices ...
Data Engineer2 ommon Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow,Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources (4) Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills Common Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow, ...
... accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Deliver impactful solutionsby executing highleverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes. Lead the design and implementationof ...
... business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities in R and/or Phyton Relationship/ Network builder Project management Experience with Continuous Improvement Cross country demand planning teams IS/IT project managers and developers
... user errors, and enhance reliability and accuracy with diverse source data types. NET core architecture, XL++ works on all Excel versions and processes large datasets efficiently. It features customized add-ons for data import, transformation, and visualization, as well as automation of business processes through pre-configured ...
... for structured and unstructured data. Ingest data from diverse sources such as APIs, streaming, and batch systems. Data Modeling & Warehousing Design efficient data models to support analytics and AI workloads. Develop and optimize data warehouses/lakes using Redshift, BigQuery, Snowflake, or Delta Lake. Big Data & Streaming ...
JOB SUMMARY Assists with the soliciting and managing of reservations sales-related opportunities. Manages and provides training and work assignments to Reservations Sales staff. Actively up-sells each business opportunity to maximize revenue opportunity. Achieves personal and team related revenue goals.
... markets, and technology, supporting innovative Financial Solutions and capital management transactions across global markets. About the Role As a Portfolio Manager, you will help manage a diverse portfolio of Financial Solutions transactions exposed to financial market risks. You will work across transaction onboarding, ...
... Java, JavaScript, or Python OR equivalent experience. Experience building scalable and highly available cloud services spanning multiple regions and/or clouds. Data modeling and big data processing experience Experience in work management and asset inventory systems #This position will be open for a minimum of 5 days, with ...
... banking and financial data. - 4-10 years of experience in the financial services industry, preferably in investment or asset management. - Hands-on experience in data analysis and profiling using SQL is essential. - Working knowledge of coding; familiarity with Python is a plus. - Experience with BI and data visualization tools ...
... implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML ...
... center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers & designers, data scientists and product managers. As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial ...
As a Reference Data Specialist within the Instrument, Pricing & Common Reference Data team, your role will encompass a variety of responsibilities. These include daily capture and validation of bond prices from third-party sources, analyzing price movements in relation to market news and expectations, and liaising with ...
... and update B2B enterprise CRM data into internal systems Perform data cleaning and data cleansing to remove duplicate, incomplete, or outdated records Conduct data validation to ensure accuracy, consistency, and reliability of CRM records Maintain and organize large datasets while ensuring data integrity and confidentiality ...
Key Responsibilities: Edit and format candidate CVs Source potential candidates based on the given requirements Maintain and update data in Excel Review information carefully to make sure it is correct and complete Help the team with daily tasks as needed Requirements: Basic knowledge of Microsoft Excel Strong attention ...
... metadata platforms - Experience supporting data lake, warehouse, or enterprise data platform initiatives Enterprise data modeling - Financial domain knowledge - Data quality and governance alignment - Business-to-data translation - Financial data structures - Fund / LP / GP data models - SQL / NoSQL schema design Bachelor’s ...
... role is ideal for someone who is dynamic and hands-on , with the ability to use agentic tools efficiently to accelerate delivery across full-stack development, data engineering, and machine learning enablement . Job Responsibilities Design and build ML systems end-to-end : problem framing, data prep, feature engineering, ...
... Architecture of and administration of Big Data platforms - Data Warehouse Appliances , Open Data Lakes (AWS EMR, HortonWorks), Data Lake Technologies (AWS S3/Databricks/Other) and experience with ML and Data Science platforms (Spark ML , H2O , KNIME) - Develop and manage SPARK ETL Frameworks, Data orchestration with Airflow ...