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Attorney, Assoc-(New York, NY)-Advise clients on Customs &amp; Int'l Trade law/export controls &amp; sanctions/acquisitions/restructuring &amp; financing/intellectual property/unfair competition claims/importing compliance matters. Handle import matters &amp; respond to U.S. CBP inquiries on customs entries/regulatory audits/enforcement activities. Analyze importers/exporters data, &amp; co. finc'l info. Prep docs/reports on trade litigations/CBP filings. Analyze regulatory compliance issues/classification/country of origin marking/custom audits/forced labor &amp; penalties/litigation. $210,000/yr.Reqs: 3 yrs exp as above or in Customs &amp; International Trade law, Master of Laws, JD or LLB, &amp; NY State law license.Reply: careers @gdlsk.com. Grunfeld Desiderio Lebowitz Silverman &amp; Klestadt LLP.

Attorney, Assoc

Automation Digital Technical Specialist, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US (Up to 40% telecommuting permitted): Act as an Automation technical expert for the company's Automation technology brands and present value-driving solutions to business partners. Lead strategic territory planning, collaborate with sales teams and partners, and leverage digital tools to identify and close sales opportunities. Drive sales growth by engaging with clients, managing sales processes, and executing marketing cadences. Focus on revenue generation through client and sales engagement, using digital tools to manage relationships and sales processes. Offer technical support in the initial stages of sales, including conducting demos, creating proofs of concept, and facilitating workshops for various clients. Develop technical resources, such as user guides and FAQs, to support clients in utilizing automation tools effectively. Conduct assessments of client environments to identify opportunities for automation and provide actionable recommendations. Collaborate with the product team to ensure the solutions offered align with client needs and industry standards. Monitor industry trends and emerging technologies to provide clients with insights that enhance their automation strategies. Participate in the creation of marketing materials that highlight the technical advantages of automation solutions, ensuring alignment with client pain points and business goals. Help to build a strong personal brand across digital platforms. Act outcome-oriented to achieve sales targets, increase market share, and drive revenue. Collaborate with external clients, sales teams, partners, and technical experts to ensure the effective execution of sales strategies using digital tools. Utilize: Statista, Google Workspace, Linux, Hybrid Cloud, Salesforce, Jira, Financial analysis modeling, Python (for Data Analysis/Visualization), draw.io (for enterprise transformation discovery). Required: Bachelor's degree or equivalent and one (1) year of experience as a Consultant or related. One (1) year of experience must include utilizing Statista, Google Workspace, Linux, Hybrid Cloud, Salesforce, Jira, Financial analysis modeling, Python (for Data Analysis/Visualization), draw.io (for enterprise transformation discovery). $125408 - $158900 per year. Please send resumes to <a href="mailto:recruitad@us.ibm.com" target="_blank">recruitad@us.ibm.com</a>. Applicants must reference H265 in the subject line.

Automation Digital Technical Specialist

Quantitative Research Analyst, Alpha Capture w/ J. Goldman &amp; Co., L.P. in NY, NY. Telecommuting permitted: wrk may be performed w/in normal commuting distance from the J. Goldman &amp; Co., LP. Office in NY, NY, 2 dys/wk. Responsible for deployg new strategies to productn, monitorg &amp; maintaing daily trading flows, validatg strategy &amp; trading output, identifying &amp; resolving issues or discrepancies in the tradg procss, implementg &amp; overseeg risk mgmt protocols, &amp; collaboratg w/ traders &amp; othr internl stakeholdrs. Positn reqs a Master's deg (U.S. or foreign equiv) in Fin, Math, Stats, Financl Engg or Comp Sci &amp; 2 yrs of exp in the job offerd or rel role. Must have 2 yrs of exp w/: Writing code in Python for quant research orproductn systms; Mng &amp; creatg quant portfolio trading strategies; Conductg quant research (runng &amp; analyzg research studies) incl signal research, stock selectn &amp; risk modelg; Constructg models &amp; signals to forecast returns; Rigorous stat testing; Researchg &amp; dvlpng analyticl tools rel to portfolio constructn &amp; optimizatn, performance measuremnt, portfolio analytics, attributn &amp; P&lt; Defing &amp; recommendg modl specs or data collectn methds; Conferrg w/ financl enginrs or analysts on tradg strategies, mkt dynamics, or tradg systm performance to inform dvlpmnt of quant techniques; Dvlpng core analytical capabilities or model libraries, usg advanced stat quant, or econometric techniques; Modifyg &amp; runng backtests of existg &amp; new tradg strategies; Assistg in productn of databases &amp; rebalancg of portfolios; &amp; Process of testg &amp; releasgcode changes to productn. Must have 1 yr of exp w/: Researchg factor timg signals; &amp; Mng &amp; creatg internal alphacapture tradg strategies QUALIFIED APPLICANTS: Email resumes to <a href="mailto:careers@jgoldmanlp.com" target="_blank">careers@jgoldmanlp.com</a> &amp; ref the job code "Quantitative Research Analyst, Alpha Capture" in the subject line.

Quantitative Research Analyst, Alpha Capture

Risk Officer – Market and Liquidity risk (SG Americas Securities, LLC, New York, NY)
Produce detailed analysis on some activities in light of market events or emerging risks. Work jointly with RISQ teams to calibrate the market risk limits and improve the methodologies when required. Support the team in the production of reports, memos and slides for the management meetings attended by RSR such as the Market Risk Committee and the US Risk Committee. Contribute to Issues Management process and Proxy booking inventory. Monitor market and counterpart risk for the front office and ensure traders give timely and proper justifications on all breaches in Colibris. Analyze and understand new transactions in order to explain them to senior management (CRO, Head of Trading, Head of Global Market) and seek approval. Collect all necessary information and conduct comprehensive analysis in order to challenge and assess the accuracy and importance of data for business cases to be prepared. Draft memoranda to be submitted to the RiskCo conveying all relevant information and key messages in a clear, concise and well-structured manner, which will be used as an essential tool for decision making. Follow-up with the relevant stakeholders on the RiskCo’s decisions and underlying actions. Use strong communication skills (verbal and written) to conduct the continuous monitoring of business needs and priorities through regular discussions with the business lines and follow-up with relevant business committees, proactively proposing submissions to the RiskCo. Help front office ensure a smooth deal validation process and navigate around MARK management, RISQ, and other stakeholders. Track all the deals which require validation in a pipeline file for MARK. Use bank pricing tools (XOne and marx) to price Cross Valuation Adjustment (XVA) fees on behalf of traders. Act as a backup on liquidity risk monitoring, and more specifically on Early Warning Indicators and potential limit increase requests. Follow-up the scarce resources utilization and associated costs at the business line and desk level. Perform business profitability analysis to support adequate allocation of scarce resources (including RWA (Risk Weighted Assets), LR (Leverage Ratio), NSFR (Net Stable Funding Ratio), LCR (Liquidity Coverage Ratio) and SLG (Stressed Liquidity Gap)) between the various business lines and desks. Telecommuting permitted up to 2 days per week. When not telecommuting, must report to SG Americas Securities, LLC, 245 Park Ave., New York, NY 10067. Salary: $157,581 - $225,000 per year.
 MINIMUM REQUIREMENTS: Master’s degree or U.S. equivalent in Finance, Financial Engineering, or related field, plus 3 years of professional experience as a Risk Officer, Financial Engineer or any occupation/job title/position in the financial services industry within capital markets.
Must also have the following special skills: 3 years of professional experience using Microsoft Office applications (including Word, Excel, and Power Point); 3 years of professional experience performing complex data analysis; 3 years of professional experience interacting with trading, Finance teams, IT and market operators; 3 years of professional experience working with financial products (including Equity derivatives, Fixed income derivatives, Asset backed securities, Mortgage-backed securities, Credit derivatives or Exotic options); 3 years of professional experience utilizing Xone, Marx and XVA platform; 3 years of professional experience using pricing tools to calculate XVA (Cross Valuation adjustments); 2 years of professional experience analyzing and communicating market risk in capital markets, credit or fixed income; 1 year of professional experience facilitating financial transactions; 1 year of professional experience analyzing market risk (including equity); 1 year of professional experience in producing and reading reports regarding positions, risk, and risk/rewards; 1 year of professional experience performing risk analysis and modelling by using programming languages (including Python or Visual Basic for applications (VBA)); 1 year of professional experience reviewing and analyzing data and risk models, risk parameters, and prioritizing between pricing factors; 1 year of professional experience researching and analyzing financial impact of decisions; and 1 year of professional experience using VBA and Bloomberg tools to process information and data to produce reports.
CONTACT: Please email resume to: <a href="mailto:us-humn-recruitment@sgcib.com" target="_blank">us-humn-recruitment@sgcib.com</a> Must specify AdCode FLCK in the subject line. &nbsp;

Risk Officer - Market & Liquidity risk

Principal Large Language Model Engineer (Financial Insight Technology, Inc. dba SmartAsset, New York, NY)
Design and implement a high-performance, scalable and reliable LLM service using Python, LLM Services (including OpenAI, Antropic’s Claude, and Meta’s LLaMA) and Cloud technologies to power applications and business needs including building services that can serve hundreds of concurrent users in a second. Design and develop RAG pipelines Building Search Engines and Recommendation engines on domain speciﬁc corpus. Collaborate with business leaders to understand their needs and challenges, and identify potential LLM use cases. Monitor LLM performance and make improvements to ensure acceptable response times based on use cases. Participate in code reviews and provide guidance to junior developers. Mentor LLM and AI Engineers to help deliver the AI use cases across the company. Perform LLM modeling, fine tuning and deployment of advanced AI technology solutions. Collaborate with cross functional teams to understand how to build LLM software solutions, including fine-tuning LLM models. Utilize strong communication skills (written and verbal) to convey technical concepts and collaborate technical concepts and collaborating with cross-functional teams. Collaborate with other developers and data scientists within the organization to share knowledge, ideas, and best practices. Design, develop and deploy Large Language Models (LLM) software solutions to facilitate AI needs for all enterprise and business use cases. Implement software best practices to ensure seamless development, testing, and deployment of LLM software solutions. Collaborate with business leaders to understand their needs and challenges, and identify potential LLM use cases that provide best ROI opportunities. Stay up-to-date with the latest advancements in LLM technologies, and continuously explore ways to integrate these advancements into existing solutions. Develop and maintain comprehensive documentation, including technical specifications, user guides, and best practices. Ensure data privacy and security compliance while working with LLMs. Provide support and training to internal teams as needed. Position allows telecommuting from anywhere in the U.S. and reports to HQ in New York. Salary: $190,000 - $236,000 per year.
MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Computer Engineering, Computer Science, Data Science, or related field, plus 5 years of professional experience as a Software Developer, Software Engineer, or any occupation/position/job title involving developing Large Language Model (LLM) applications.
In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master's degree or U.S. equivalent in Computer Engineering, Computer Science, Data Science, or related field, plus 3 years of professional experience as a Software Developer, Software Engineer, or any occupation/position/job title involving developing Large Language Model (LLM) applications.
Must also have experience in the following: 3 years of professional experience utilizing Python programming, building ETL pipelines, and working with Transformer architecture models; 3 years of professional experience working with Cloud Platforms (including AWS, GCP and Azure) and Vector databases (including MongoDB); 3 years of professional experience utilizing LLM concepts including model ﬁne-tuning and transfer learning; 3 years of professional experience utilizing LLM frameworks (including Hugging Face Transformers) and integrating with Python; 3 years of professional experience automating and scaling web frameworks (including FastAPI and Django) for building production ready applications; 3 years of professional experience building conversational chatbots using LLM's as per business needs; 3 years of professional experience presenting complex concepts to both technical and non-technical audiences; 3 years of professional experience working in a cross-functional team and collaborating with stakeholders at various levels of the organization; 3 years of professional experience with DevOps toolsets and working with RDBMS databases including MySQL, SQL Server, and PotstgreSQL; 3 years of professional experience utilizing Docker, Kubernetes and CI/CD tools and writing clean, maintainable, and testable code following best practices and industry standards; 3 years of professional experience building machine learning models including Random Forest, Logistic Regression, Linear Regression, Support Vector Machines (SVM), XGBoost, and LightGBM; and 3 years of professional experience working with clustering models, including K-Means, DBSCAN, Gaussian Mixture Models, and Agglomerative Clustering.
CONTACT: Apply online at <a href="https://smartasset.com/careers" target="_blank">https://smartasset.com/careers</a> &nbsp;

Principal Large Language Model Engineer

Product Development/Management-Senior Manager needed by Verizon in New York, NY. Responsible for user &amp; competitive research analysis, roadmap strategy &amp; user stories for UX/UI applications/products. Requires travel in the US for up to 25% of work time. Hybrid role, ability to work from home. $192,862 per year. To apply, email resume to <a href="mailto:vz-apply@verizon.com" target="_blank">vz-apply@verizon.com</a>. Refer to job code CWGOES-N.

Product Development/Management- Senior Manager

Engineer: CTC Trading Group, LLC seeks an Engineer in New York, NY to use a test and data driven approach to write impactful and reliable high-performance C++ applications. Telecommuting is permitted. Wage Range: $175,000 - $275,000. Apply at jobpostingtoday.com/ Ref # 55934.

ENGINEER

Senior Data Scientist, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US (Up to 100% telecommuting permitted): Identify use cases leveraging data science and machine learning and break them down into development steps for junior data scientists. Lead the team to perform exploratory data analysis using open-source tools and proprietary solutions. Work closely with clients and project managers on the definition of phases, tasks, outputs highlighting the role of business and data understanding, preparation, modeling, evaluation, and deployment for analytic projects. Perform data selection, imputation, feature generation and transformations, merging and reformatting as needed. Work with the team on best approach for the use case and training, testing, and validating a wide variety of machine learning algorithms and models. Embed model monitoring and result explainability into machine learning solutions to enhance the models' trust and transparency to make data science results consumable by non-data professionals. Lead strategy discussions and help to design and develop a solution that meets client goals and outcomes as well as debug, troubleshoot, design and implement solutions to complex technical issues. Leverage in predictive modeling, optimization, and/or machine learning analytics techniques using tools/programming languages including Spark as well as ML Deployment capabilities like Docker, Container, Microservices, Kubernetes within a Big data-enabled environment. Implement new, highly scalable platform components and tools leveraging machine learning and deep learning models to solve real-world problems in areas such as speech recognition, natural language processing and time series predictions. Build reports and dashboards for analytics or data science within the Medicare/Medicaid, healthcare and life sciences sectors as well as perform requirements gathering on Medicare data. Utilize: Python, R, Statistical modeling, Machine Learning modeling, GitHub, ETL, Power BI/Tableau, Snowflake, and SQL. Required: Master's degree or equivalent in Data Science or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Scientist or related. One (1) year of experience must include utilizing Python, R, Statistical modeling, Machine Learning modeling, GitHub, ETL, Power BI/Tableau, Snowflake, and SQL. $170998 to $212000 per year. Please send resumes to <a href="mailto:recruitad@us.ibm.com" target="_blank">recruitad@us.ibm.com</a>. Applicants must reference V158 in the subject line.

Senior Data Scientist

Senior Managing Consultant, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US (Up to 100% telecommuting permitted): Work with clients to define key objectives and design advanced AI (Artificial Intelligence) prompts that deliver precise, valuable outputs aligned with business goals. Transform clients' data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. Incorporate AI Governance concepts as Fairness, Bias, Transparency, into model development process and ensure team follows principles during engagements. Conduct in-depth testing and analysis of AI-generated content, pioneering innovative prompt engineering techniques to enhance accuracy and relevance. Mentor junior data scientists and consultants in data science best practices and relevant industry domain to project work, as model selection for Generative and Traditional AI, plus enabling continuous improvement through model monitoring metrics. Leverage AI-driven techniques, as Generative AI, to remove traditional manual processes to operate the company's products and services. Work with senior stakeholders internally and clients, to provide solutions to business objectives that leverage AI technologies, as watsonx or hyperscaler offerings (i.e. AWS, Azure, Google). Communicate complex AI based modelling outputs aligned with client key objectives into understandable actions where various senior stakeholders and clients can enact upon. Utilize: Watsonx toolsets (ie. Wastonx.ai, Wastonx.data, Watsonx.Orchestrate), Python, Frameworks and latest industry toolsets (such as Scipy, Sentence Transformers, Pytorch, Tensorflow, Scikit-learn), BI dashboarding technologies (such as Power BI, COGNOS), Natural Language Process (NLP), MLOps, GenAI Transformer Architecture. Required: Master's degree or equivalent in Data Science or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Scientist, Cognitive Engineer or related. One (1) year of experience must include utilizing Watsonx toolsets (ie. Wastonx.ai, Wastonx.data, Watsonx.Orchestrate), Python, Frameworks and latest industry toolsets (such as Scipy, Sentence Transformers, Pytorch, Tensorflow, Scikit-learn), BI dashboarding technologies (such as Power BI, COGNOS), Natural Language Process (NLP), MLOps, GenAI Transformer Architecture. $176076 to $225000 per year. Please send resumes to <a href="mailto:recruitad@us.ibm.com" target="_blank">recruitad@us.ibm.com</a>. Applicants must reference V164 in the subject line.

Senior Managing Consultant

Senior Data Scientist, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US: Lead a team of Artificial Intelligence data scientists and engineers as a senior data scientist for the generative AI-analytics-automation practice (public market). Advise large clients on their AI strategy and AI-enabled business transformation, collaborating with industry-focused teams to drive business growth at key clients. Shape, lead, and deliver client projects for AI advisory, AI governance, and trustworthy AI. Lead the artificial intelligence (AI) and advanced analytics teams comprised of data scientists. Perform exploratory analysis of data to identify insights. Employ statistical and machine learning techniques to create predictive models. Design and develop advanced visualizations to improve data consumption and reveal insights. Build custom data flow and processing modules to aggregate and analyze large quantities of data. Recommend and build systems for data analytics and data integration. Set up data lakes and big data processing platforms to handle very large unstructured and structured data. Perform graph analysis and social media data analysis to identify relationships and trends between entities. Utilize: Data Science for Artificial Intelligence, Statistical Analysis, R (programming language), python, and machine learning libraries (scikit-learn). Required: Master's degree or equivalent in Information Systems Management, Data Analytics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Senior Data Scientist or related. One (1) year of experience must include utilizing Data Science for Artificial Intelligence, Statistical Analysis, R (programming language), python, and machine learning libraries (scikit-learn). $241973 - $275000 per year. Please send resumes to <a href="mailto:recruitad@us.ibm.com" target="_blank">recruitad@us.ibm.com</a>. Applicants must reference H250 in the subject line.

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