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Vice President-Front Office Quantitative Research w/ BNP Paribas Securities Corp. in NY, NY. Participate in global research &amp; dvlpmnt effort on modeling of financl products. Positn reqs a Master's deg (U.S. or for equiv) in Financl Engg, Computational Fin, Operations Res, or a rel field &amp; 2 yrs of exp in job offered or in a rel financl analytics &amp; quantitative research role w/in a financl svces organizatn OR Bach deg (U.S. or for equiv) in Financl Engg, Computational Fin, Operations Res, or a rel field &amp; 4 yrs of exp in job offered or in a rel financl analytics &amp; quantitative research role w/in a financl svces organizatn. Must have 2 yrs of exp (or 4 w/ Bach) w/ the following: producing productn-ready code w/ respect to modeling, analytical, &amp; pricing tools, &amp; dvlpmnt of trading, pricing, risk, &amp; P&amp;L analytics rel to Equity Derivatives or Structuring; validatg data &amp; automatn of processes using Python or C++ or equiv lang in a financl svces environment; gathering reqs, design end to end solutns &amp; implementg new pricing, hedging, &amp; risk mgmt tools &amp; methodologies; exp w/ Equities products (optis &amp; derivatives) in terms of their valuatns as well as understanding &amp; modeling their risk factors; &amp; performing model research &amp; validation &amp; supporting trading desks on issues rel to risk, pricing, &amp; trades. Sal: $185,000- $225,000 / yr. Qualified Applicants: Apply at <a href="https://bwelcome" target="_blank">https://bwelcome</a> hr.bnpparibas/en_US/externalcareers/ JobDetails?jobId=56867&amp;source= BNP+Paribas+website

Vice President-Front Office Quantitative Research

Lead Data Scientist, IBM Corporation, Armonk, NY (Up to 40% telecommuting permitted): Foster organization-wide stakeholder engagement to understand and prioritize pain points across all issues faced by the business function. Coordinate efforts to identify opportunities for leveraging company and external data to drive understanding of issues, to surface new insights and to fuel potential solutions. Orchestrate data mining and analysis to extract patterns and understand relationships. Evaluate effectiveness of data sources, efficiency of data gathering techniques, and drive prioritization accordingly. Lead team in applying Machine Learning/AI (Artificial Intelligence) techniques to build models as it relates to business function and associated actions. Assess relevance, quality, reliability, and maintainability of the candidate models and decide on selection of the best ones for implementation and deployment. Communicate key ideas and results to stakeholders/business decision makers. Drive team efforts on visualization and AI explainability. Coordinate the work of user experience designers, software engineers, data scientists, and consultants to implement the models in the production environment, deploy associated automation, and deliver the desired outcomes. Lead development of strategy, processes, and tools to monitor data and model performance long term. Utilize Python, Tableau, SQL, Apache Spark, Apache Airflow, Kubernetes, API. Required: Master's degree or equivalent in Computer Science, 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 Senior Big Data Analyst, Senior Business Analyst, or related. One (1) year of experience must include utilizing Python, Tableau, SQL, Apache Spark, Apache Airflow, Kubernetes, API. $171895 - $207900 per year. Please send resumes to <a href="mailto:recruitad@us.ibm.com" target="_blank">recruitad@us.ibm.com</a>. Applicants must reference H271 in the subject line.

Lead Data Scientist

IT: Two Sigma Investments, LP seeks Quantitative Researcher in NY, NY. Incls but not limited to research, formulate, dvlp, back-test &amp; compare predictive quantitative fin'l models using advanced math &amp; stat modeling skills. Apply data mining, pattern recognition, machine learning, optimization, linear algebra &amp; stat analysis incl generalized regression models, time series models &amp; NLP models to extract trading signals from extremely noisy &amp; unstructured data. Note: Co. "Hybrid" work attendance policy: In-office work attendance req'd at aforementioned office address for collab days based on each team's req'mt; telecommuting / working from home permissible for remainder of same month. Must have PhD or equiv in CS, Electrical Eng'g, Math, Stats, Physics or rel field. Position does not req specific yrs' exp but req's listed skills. Must have demonstrated knowl w/ stat data analysis on lrg datasets incl regression analysis, time series analysis, deep learning &amp; machine learning methods for building predictive models. Must have demonstrated knowl w/ NLP models. Must have demonstrated knowl w/ stat algorithms for handling latent variables or embeddings. Must have demonstrated knowl w/ rigorous design of experiments for method comparison &amp; model sensitivity/robustness analysis via simulations. Must have demonstrated knowl w/ model generalization via transfer learning. Must have demonstrated knowl w/ complex time series models. Must have demonstrated knowl w/ Python, R, SQL &amp; Linux operating sys. Must have demonstrated knowl in writing production quality code. Must have demonstrated knowl in probability, stats &amp; linear algebra. Must have demonstrated knowl in presenting &amp; publishing technl details in formal venues. Must pass co.'s req'd skills assessment. Employer will accept any amount of grad coursework, grad research exp or exp w/ req'd skills. Rate of pay: $165,000-$325,000/yr (may also be elig for other forms of compensation &amp; bnfts). Send resume to TS/HR Dept., Two Sigma Investments, LP, 100 Avenue of the Americas, 16th Fl, NY, NY 10013 or email resume to TS-Posting@ twosigma.com &amp; ref Job # 13259.

Quantitative Researcher

IT: Two Sigma Investments, LP seeks Data Scientist in NY, NY. Incls but not limited to perform quantitative, data-driven research &amp; data analysis &amp; apply stat modeling techniques to design &amp; implement granular domain-specific indicators from data to detect &amp; analyze stat patterns in lrg unstructured datasets, rel them to co., industry &amp; macroeconomic factors. Perform exploratory data analysis &amp; research, formulate, design &amp; dvlp predictive quantitative stat models for equities &amp; other asset classes. Note: Co. "Hybrid" work attendance policy: In-office work attendance req'd at aforementioned office address for collab days based on each team's req'mt; telecommuting / working from home permissible for remainder of same month. Must have Master's or equiv in Data Sci, Stats, Math, Comp Fin'c, or rel field. Position does not req specific yrs' exp but req's listed skills. Must have demonstrated knowl of querying relational dbases. Must have demonstrated knowl of big data technologies stack incl Spark &amp; SQL Must have demonstrated knowl of parallel processing algorithms, methods &amp; infrastructure. Must have demonstrated knowl of CPU &amp; GPU cloud infrastructure incl AWS &amp; dvlpg Data Definition Language scripts to query SQL dbases efficiently. Must have demonstrated knowl of data visualization tools incl Matplotlib &amp; Seaborn. Must have demonstrated knowl of data manipulations &amp; exploratory data analysis in Python. Must have demonstrated knowl of Machine Learning &amp; stat techniques in Python. Must have demonstrated knowl of using Git in production environ w/ multiple users. Must have demonstrated knowl of performing object-oriented computations in Python, incl designing &amp; implementing data analytics sys's in Python. Must have demonstrated knowl of Regression &amp; time series analysis to conduct quantitative research &amp; command line prog'g to schedule different jobs on cloud srvr. Must have demonstrated knowl of performing quantitative research using structured data &amp; data sci best practices. Must have demonstrated knowl of dvlpg &amp; deploying research pipeline under cloud computing platform. Must have demonstrated knowl of fin'l analysis &amp; modeling. Must pass co.'s req'd skills assessment. Employer will accept any amount of exp w/ req'd skills. Rate of pay: $165,000-$325,000/yr (may also be elig for other forms of compensation &amp; bnfts). Send resume to TS/HR Dept., Two Sigma Investments, LP, 100 Avenue of the Americas, 16th Fl, NY, NY 10013 or email resume to <a href="mailto:TS-Posting@twosigma.com" target="_blank">TS-Posting@twosigma.com</a> &amp; ref Job # 13180.

Data Scientist

Statistical Programmer needed for Ephicacy Consulting Group, Inc located in Iselin, NJ to assist clients submission of statistical programming deliverables for single/ multiple studies located throughout the U.S. Positions require Master's degree in relevant filed along with relevant experience. Salary range from $144,000 to $145,000. Send resumes to: <a href="mailto:careersusa@ephicacy.com" target="_blank">careersusa@ephicacy.com</a>

Statistical Programmer

WPSD LOCAL6, the NBC affiliate in the 90th market seeks a talented Weekend Meteorologist.&nbsp; You’ll join a team that consistently receives recognition for life saving work during severe weather events.
You know WSI, every social media platform, are familiar with wall-to-wall “tag-team” weather coverage.&nbsp; You are congenial and collaborative, a team player. You are a graphic whiz and a great weather storyteller. You are warm, reassuring, conversational and credible.&nbsp;
We are The Weather Authority in our market.&nbsp; Tracking storms is quite simply the most important work we do.&nbsp; It is work that literally saves lives.&nbsp; Our team is absolutely committed to do whatever it takes to serve our viewers, on every platform better than anyone else.&nbsp;
You are an idea person, self-starter and ready to work in a high energy, competitive environment.&nbsp;
Degree in Meteorology or related science field and two years of experience preferred. We will consider talented entry level candidates. Send cover letter, resume and video link to Perry Boxx, News Director at&nbsp;<a href="mailto:pboxx@wpsdlocal6.com" target="_blank">pboxx@wpsdlocal6.com</a>.&nbsp;&nbsp;
WPSD-TV is an equal opportunity employer and does not discriminate on the basis of race, religion, color, sex, age, national origin, or disability.&nbsp;

PMG-WPSD

Weekend Meteorologist

Quantitative Researcher - New York, NY. Apply quantitative (i.e. mathematics/statistics-based) research &amp; analysis/statistical analysis/data analysis skills, incl. estimation methods, time series analysis, &amp; machine learning methods to research, formulate, design, &amp; develop sophisticated predictive quantitative financial investment models used by company to trade fixed income credit instruments &amp; their derivatives in a variety of global markets. Min. requirements: PhD Degree in Statistics, Applied Mathematics, Mathematics or related quantitative field; OR in the alternative, Master's Degree in Stats, Applied Math, Math or related quant field + 3 years of experience as a Quantitative Analyst. For both sets of requirements must also have knowledge of: Empirical asset pricing &amp; factor models; Statistical analysis of time series data, panel data, &amp; cross-sectional data; Ability to analyze large-scale datasets &amp; perform data mining on financial data; Linear algebra &amp; linear/convex optimization; Machine learning; Quantitative research in credit markets, incl. corporate bonds &amp; credit-default-swaps; Credit default probability modeling using statistical predictive models incl. generalized linear models, nonparametric regression models &amp; tree-based models; Risk modeling incl. value-at-risk &amp; credit value-at-risk using factor models, clustering &amp; dimension reduction methodologies; &amp; Programming with Python &amp; SQL. Must pass company's required skills assessment. Base pay: $165k-$325k/year (does not include other forms of compensation/benefits). Note Hybrid work attendance policy: In-office work required at below office address for collaboration days based on each team's requirement; &nbsp;remote work permissible for remainder of same month. Send resume to <a href="mailto:TS-Posting@twosigma.com" target="_blank">TS-Posting@twosigma.com</a> or mail to TS/HR Dept, Two Sigma Investments, 100 Ave of the Americas, 16 Fl, NY, NY &nbsp;10013. Reference Job ID 13242&nbsp; &nbsp;

Quantitative Researcher -- New York, NY. Research, design &amp; test predictive financial modeling systems by using advanced quantitative modeling &amp; statistical analysis skills in the application of computational &amp; analytical principles. Utilize quantitative analysis/research &amp; data science practices to research &amp; formulate testable hypotheses about equities markets. Min. requirements PhD Degree in Statistics, Applied Mathematics, or related quantitative field; OR in the alternative, Master's Degree in Stats, Applied Math, Math or related quant field + 3 years of experience in Quantitative Research &amp; Analysis types of position(s). For both sets of requirements must also have knowledge of: Ability to develop &amp; fine-tune statistical models; ability to perform statistical data analysis on large-scale data sets, including global equities market data, trading data, &amp; alternative data sources; Time series methods to analyze market price &amp; return data &amp; perform statistical tests about stationarity &amp; mean-reversion behaviors on time series data; Regression analysis &amp; statistical inference to understand correlations, tackle multicollinearity, &amp; analyze power of predictive features; Machine learning &amp; deep learning techniques including tree-based methods &amp; neural-network-based methods to explore non-linear relationships between predictive features &amp; market returns; Statistical modeling principles &amp; practices, incl. hypothesis formulation &amp; testing, application of various statistical modeling techniques, model selection &amp; validation via in-out-sample method, &amp; model diagnostics; ability to write code &amp; develop efficient algorithms to implement large-scale data analyses, computations, &amp; simulations; R &amp; Python; data analysis &amp; visualization libraries, incl. Pandas, NumPy, &amp; Matplotlib; &amp; Machine learning libraries, incl. Scikit-learn, TensorFlow, &amp; Keras. Must pass company's required skills assessment. Base pay: $165k-$325k/year (does not include other forms of compensation/benefits). Note Hybrid work attendance policy: In-office work required at below office address for collaboration days based on each team's requirement; remote work permissible for remainder of same month. Send resume to <a href="mailto:TS-Posting@twosigma.com" target="_blank">TS-Posting@twosigma.com</a> or mail to TS/HR Dept, Two Sigma Investments, 100 Ave of the Americas, 16 Fl, NY, NY 10013. Reference Job ID 13243

<h3>Job Description</h3>
Job Description
Analytica is seeking a highly skilled and security-cleared Artificial Intelligence Ethics Subject Matter Expert (SME) to lead and advise on the ethical implementation, integration, and governance of artificial intelligence (AI) platforms across the enterprise. This position provides expert-level technical leadership and strategic guidance on the selection and use of AI platforms, ensuring that AI systems adhere to principles of fairness, accountability, transparency, and trustworthiness, particularly in federal and defense environments.&nbsp;
The AI Ethics SME will play a pivotal role in shaping Responsible Artificial Intelligence (RAI) strategy, delivering ethical assessments, and guiding key stakeholders in aligning AI technologies with Department of Defense (DoD) values and policies.&nbsp;
Key Responsibilities&nbsp;
<ul>
<li>Provide expert technical guidance on the ethical adoption and use of AI platforms, including advising on which platforms should be used and how, based on their ethical and operational suitability.&nbsp;</li>
<li>Design, facilitate, and analyze Responsible AI (RAI) Tabletop Exercises (TTXs) to assess organizational readiness, highlight ethical risks, and inform decision-making.&nbsp;</li>
<li>Conduct RAI gap analyses to identify ethical deficiencies or capability limitations in current DoD AI systems; develop and scope Courses of Action (COAs) and project recommendations to close these gaps.&nbsp;</li>
<li>Collaborate with cybersecurity, human factors, legal, and policy stakeholders to ensure AI systems meet cross-disciplinary ethical standards.&nbsp;</li>
<li>Provide strategic support for the development of RAI principles, implementation roadmaps, policy frameworks, and related governance structures.&nbsp;</li>
<li>Stay abreast of advancements in AI ethics, algorithmic accountability, and federal RAI guidelines and advise senior leadership on their implications.&nbsp;</li>
<li>Support the integration of ethical risk management, algorithmic transparency, and bias mitigation strategies in system development and deployment.&nbsp;</li>
<li>Contribute to cross-agency ethics initiatives, including DoD AI policy formation, working groups, and ethics governance councils.&nbsp;</li>
</ul>
Required Qualifications&nbsp;
<ul>
<li>Security Clearance: Active Top Secret (TS) clearance with SCI eligibility.&nbsp;</li>
<li>Education: Bachelor’s Degree from an accredited university in Applied Ethics, Artificial Intelligence Ethics, Data Ethics, or a related field.&nbsp;</li>
<li>Minimum 8 years of related IT experience, including 5 years specifically in artificial intelligence technology, applications, or policy.&nbsp;</li>
<li>Minimum 2 years of disciplinary expertise across cybersecurity, human factors, ethics, and policy as applied to AI systems.&nbsp;</li>
<li>Minimum 2 years of experience designing and conducting Responsible AI Tabletop Exercises.&nbsp;</li>
<li>Minimum 2 years of experience conducting RAI gap analyses for the DoD, and scoping Courses of Action (COAs) and projects to address RAI capability and process needs.&nbsp;</li>
</ul>
Preferred Qualifications&nbsp;
<ul>
<li>Education: Master’s Degree from an accredited university in Applied Ethics, Artificial Intelligence Ethics, Data Ethics, or a closely related discipline.&nbsp;</li>
<li>Demonstrated experience in federal or defense AI ethics policy formulation, especially within the Department of Defense.&nbsp;</li>
<li>Familiarity with major frameworks and guidance, including:&nbsp;</li>
<li>&nbsp;DoD Responsible AI Strategy and Implementation Pathway&nbsp;</li>
<li>&nbsp;NIST AI Risk Management Framework (AI RMF)&nbsp;</li>
<li>&nbsp;OECD AI Principles&nbsp;</li>
<li>Experience collaborating with high-level ethics councils or AI working groups.&nbsp;</li>
</ul>
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. 
We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.
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MxpBM02Buz

AI Subject Matter Expert

<h3>Job Description</h3>
Job DescriptionDescription:
We are seeking a Data/JIRA Analyst with strong expertise in data visualization and JIRA to join our onsite team in the Washington, DC area. In this role, you will design, manage, and deliver reporting and dashboards that provide clear visibility into Agile program performance.
 
The analyst will support leadership and delivery teams by transforming complex JIRA data into actionable insights, enabling stakeholders to make informed decisions and track progress against mission-critical objectives. The ideal candidate combines technical expertise in JIRA and related tools with exceptional data visualization and communication skills.
 
This role is contingent upon funding award and requires onsite presence at the USCG St. Elizabeths campus three days per week.
 
At JPI, we strive to empower our people and excel for our clients. We hold ourselves to high standards and prioritize our values of being one team with unwavering integrity. We are motivated by our mission and driven to deliver solutions that exceed expectations. Will you join us?
 
RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED TO:
<ul>
<li>Extract, transform, and manage data from JIRA and related Agile management tools.</li>
<li>Develop dashboards, reports, and visualizations for executives, program managers, and delivery teams.</li>
<li>Ensure accuracy, consistency, and integrity of program data across multiple sources.</li>
<li>Partner with Agile teams and leadership to identify reporting needs and build fit-for-purpose solutions.</li>
<li>Automate recurring reporting processes and improve data workflows.</li>
<li>Translate technical data into accessible visuals and narratives for non-technical audiences.</li>
<li>Support continuous improvement by providing insights into backlog health, velocity, capacity, and delivery performance.</li>
</ul>
Requirements:
KEY REQUIREMENTS:
<ul>
<li>Bachelor’s degree in information systems, data analytics, or related field.</li>
<li>2–5 years of experience with JIRA administration, reporting, or data management.</li>
<li>Proficiency in building dashboards and reports using JIRA (native, plugins, or BI integrations).</li>
<li>Strong data analysis and visualization skills (Excel, Tableau, Power BI, or similar).</li>
<li>Excellent communication skills with the ability to present insights to leadership.</li>
<li>U.S. citizenship and ability to obtain and maintain a government security clearance.</li>
</ul>
PREFERRED QUALIFICATIONS:
<ul>
<li>Experience in federal government or secure environments.</li>
<li>Familiarity with Agile frameworks (SAFe, LeSS, Disciplined Agile).</li>
<li>Experience with Confluence, Jira plugins (e.g., eazyBI, Advanced Roadmaps), or APIs for reporting.</li>
<li>Knowledge of SQL or scripting for data extraction and transformation.</li>
</ul>
JPI is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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