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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Ideal candidates will have some exposure to one of the following technologies: Python, SQL, and Excel/VBA. Qualified candidates will have a deep understanding across the FX market from forecasting and trading, portfolio construction, optimization, and risk management.
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Familiarity with Aladdin, data visualization tools (Tableau, PowerBI) and/or Python is a plus, but not necessary. You will partner with investors on their coverage to help generate investment ideas and monitor holdings by conducting deep fundamental research on companies and related industries, financial modeling, facilitating meetings with management teams, sell-side firms and industry specialists, relative value comparison, analyzing capital structures, and working as a key contributor in both the investment grade and high yield corporate credit investment process.
$223,197 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will utilize your deep expertise in Python, SQL, ELT processes, AWS, Redshift, and Snowflake to create and optimize data solutions that adhere to best practices in software engineering.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Deep hands-on experience with core technologies such as Airflow, dbt, git, docker. Tableau, Streamlit, AWS, Snowflake, and Python. Deep hands-on experience with core technologies such as Airflow, dbt, git, docker.
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. + Deep understanding of artificial intelligence concepts, experience with AI frameworks and libraries such as TensorFlow or PyTorch is also valuable.
$342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience with Deep Learning methods in NLP, sentiment analysis, topic modeling, and graph theory and databases. Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks, and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Strong quantitative skills, including proficiency in statistical analysis, econometrics, stress testing, decision science, and other risk measurement techniques. 6+ years of impactful experience in the financial services industry, with significant depth in risk management (e.g. market risk, credit risk, liquidity risk, ops risk.
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Understanding of concepts in natural language processing and deep learning. Fluency in the Python programming language, preferably in production environments or maintaining live applications or pipelines.
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Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. Leverage computer vision, NLP, GenAI, entity resolution, Deep Learning to create the best Consumer facing menus for Merchants.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Net ¬タᄁ Excellent analytical and problem solving skills ¬タᄁ Deep understanding of Capital Markets with focus on Credit Risk, Market Risk or Capital calculations ¬タᄁ Understanding of regulations within the Capital Markets space (Basel, CRR, CRD IV etc) ¬タᄁ Attention to detail and self-starter, with an ability to identify risks and issues and suggest improvements.
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As a Lead Infrastructure Engineer at JPMorgan Chase within the Infrastructure Platform (IP) Network Product Line (NPL), you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline.
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