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Senior Consultant in Financial Risk Analysis
1 mese fa
Your expertise will be greatly appreciated and will position you at the heart of a premier environment, where you can directly influence the success of our clients while advancing your own professional journey.
Through engaging projects, you will acquire profound and specialized knowledge across various facets of the banking and insurance sectors.
Key Responsibilities:
- Analyze and model structured datasets utilizing advanced statistical techniques and implement necessary algorithms and software for comprehensive analyses.
- Develop recommendation systems, spam detection algorithms, sentiment analysis tools, and classifiers for both unstructured and semi-structured data.
- Organize extensive volumes of user-generated content and manage data processing in large-scale environments using technologies like Hadoop and Spark.
- Execute machine learning, natural language processing, and statistical analysis methods, including classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time series analysis, regression, statistical inference, and validation techniques.
- Lead client engagements centered on Big Data and Advanced Business Analytics across diverse fields such as product innovation, market research, public policy, optimization, and risk management; communicate findings and educate stakeholders through reports and presentations.
- Conduct exploratory data analyses, formulate and test working hypotheses, prepare and scrutinize historical data, and identify significant patterns.
- A Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related disciplines.
- Demonstrated experience as a Data Scientist, with involvement in Advanced Data Analysis initiatives.
- Proficiency in command-line scripting, data structures, and algorithms, with experience in processing substantial datasets in a cloud environment.
- Familiarity with data extraction and processing techniques, preferably using MapReduce, Pig, and/or Hive.
- Knowledge of programming languages (Java, Python, SCALA, Ruby) and the capability to implement, maintain, and troubleshoot big data infrastructures, including distributed processing paradigms, stream processing, and databases such as Hadoop, Storm, SQL, and Solr.
- Strong expertise in at least one of the following areas: machine learning, statistical modeling, data mining, or cognitive computing.
- Proficiency in analytics and Data Science tools (R, SAS, Python, Knime, Spark, Matlab) and associated packages.
- Fluency in English, ideally enhanced through educational or professional experiences abroad.
- A willingness to collaborate closely with clients based on project requirements.
Businesses are increasingly seeking a diverse range of Advisory Services to navigate the complex challenges and opportunities presented by a consistently volatile economic landscape.
Our Advisory specialists operate across the corporate health spectrum, addressing areas as varied as profitability, transformation, technology, risk, growth, structure, and operations.
Required data will be managed in compliance with the European legislative Decree no. 679/2016 (General Data Protection Regulation - "GDPR") and subsequent modifications or integrations.Global ATS - Italian is an equal opportunities employer.