Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful insights to help our clients navigate the ever-changing threat design and technology as we partner with clients to transform finance.
... quantitative strategy research and systematic investing that powers AQR. Your Role As a Quant Research Engineer, you will build or extend our: • Global asset signal, data and risk estimation infrastructure incorporating millions of data points • Intuitive research APIs leveraging cloud computing and cutting-edge visualizations ...
The Analyst will be responsible for work on day-to-day Power BI requests. He/She should be able to help the stakeholders on improving the processes via automation of projects. The analysts should be able to deep dive into the data for insights and also be able to formulate Power BI tasks and solutions. Shift Timings: Flexible ...
... the company's Application, Database and Infrastructure Architecture. Planning & implementing for backup and recovery of database. Manages the implementation of database consolidations. Backing up and restoring databases. Ensuring availability of system storage and planning future storage requirements for the database system. ...
Role Summary :Seeking an experienced Production Support Analyst to provide L2/L3 support for Eagle STAR (Performance & Reporting) and Eagle PACE (Data Management) applications within an investment management environment. The role involves incident management, root cause analysis, data troubleshooting, release support, and ...
IT Security Analyst A global bank standing up its India technology and operations centre Bengaluru, Mumbai, Delhi NCR, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad — or Remote (India) A global bank is standing up its India technology and operations centre and has partnered with Flexiple to hire an IT Security Analyst to ...
... data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms (AWS, Azure, GCP) for scalable AI solutions. Experience with data visualization tools and techniques. Knowledge of databases and data management. Experience & Qualifications Experience Range: 8+ years in IT, data science, AI/ML, ...
... maintenance of enterprise ETL processes for data platforms, for a global client base. Assist in the data delivery process, working alongside Data Engineers and Analysts to support on-time, accurate, high-value, and robust data solutions across multiple clients and industry sectors. Use SQL and other database technologies to ...
... experience with Postgres DBA with Greenplum + Az Provide consultation/support to application development gro Maintain day to day support of mission critical database plant and ensure plant stability/modernization using industry standard devops pract Showcase expertise to regularly improve and enhance the plant functionality ...
... other business intelligence tools and data technologies across Unix, mainframe, or Windows platforms. - Knowledge of cloud computing on Google Cloud Platform, data modelling, Adobe Analytics, and exposure to data quality assessment and control, including delivery on data and information management projects of varying complexity. ...
... Collaborate with Smart Manufacturing Strategy Leads to align data science efforts with business goals across Micron sites. Provide mentorship and coaching to data scientists and engineers to nurture their technical skills. Perform exploratory data analysis and feature engineering on structured and unstructured data. Fluency ...
... AI, AI safety, data privacy, and data security best practices. Experience with vector databases, embeddings, prompt engineering, and LLM evaluation frameworks. Data Science Leadership Machine Learning Generative AI & LLMs Natural Language Processing (NLP) MLOps & Model Deployment AI Strategy & Innovation Data-Driven Decision ...
... perform the above tasks in collaboration and agreement with the team leaders, project leads and other development staff, and where necessary with the Business Analysts, Ops Leads, FO, A & D teams, Methodology teams Strong Functional/Data/Risk Analysis experience. Awareness Market and counterparty risk and Credit risk 4 years ...
... improving and maintaining new and existing databases to help users retrieve data https://jobeax.com/link/bpUDbLzR6pBwS6XN : - Design stable, reliable and effective databases- Optimize and maintain legacy systems- Modify databases according to requests and perform tests- Solve database usage issues and malfunctions- Liaise with ...
Summary :We are looking for an experienced Oracle DBA L3 with 7 -10 years of hands-on experience in Oracle Database Administration. The ideal candidate should have strong expertise in Oracle RAC installation, RAC architecture, Oracle Database 19c, backup & recovery, database patching, and security best practices. Experience ...
... automated testing).- Exposure to Agile/Scrum methodologies.- GCP Professional Data Analyst or Data Engineer certification.- Tableau Desktop Specialist / Certified Data Analyst certification.- Experience in media, broadcasting, healthcare, or other data-intensive domains.- Understanding of data governance frameworks and data ...
... for a high growth open-end and closed end real estate product line. - Liaison between fund administrators and US based parent company to facilitate efficient data transfer to CP US systems. - Support Investor and consultant data needs by updating databases containing performance and operations data for our product line. ...
... Compliance, and Management teams with reporting and data analysis requirements. - Validate data quality and investigate issues related to mismatched numbers, missing data, or incorrect calculations. - Work with data engineering or database teams to understand data sources and improve reporting reliability. - Optimize Power BI reports ...
... Experience : 6 to 8 years Skill Sets and capabilities : Technical Lead SQL 2012, 2019 replication, clustering, mirroring query optimization Create, test and execute data management languages Analyze and sustain capacity and performance requirements Analyze, consolidate and tune database for optimal efficiency Monitor, analyze ...
... logically sound, reasonably challenging, and easily communicable to non-technical teams. Data Engineering & EDA: Clean, preprocess, and validate large, complex datasets (structured/unstructured). Perform deep-dive Exploratory Data Analysis (EDA) to identify patterns, ensure data integrity, and set the initial strategic direction ...