Adjunct Associate Faculty in Analytics for Business Operations Management

The School of Professional Studies at Columbia University is actively seeking qualified candidates for the role of Adjunct Associate Faculty in the graduate-level course on Financial Securities Analysis and Portfolio Management. This part-time position offers a unique opportunity for individuals to gain valuable experience in graduate-level instruction at one of the nation's premier educational institutions.This course delves into the intricate world of financial securities, equipping students with the analytical tools necessary to evaluate financial assets and devise effective investment strategies. It serves as a comprehensive introduction to key investment topics that are crucial for those pursuing careers in investment analysis or portfolio management.Key Responsibilities:Participate in all class sessions, assist in instructional duties, lead breakout discussions, and facilitate engaging classroom interactions.Deliver lectures, oversee instructional activities, and actively participate in classroom conversations.Assess and grade student assignments and evaluations as directed by the course Lecturer.Address student inquiries and concerns, providing support and guidance throughout the course.

The School of Professional Studies at Columbia University invites seasoned professionals in the finance sector to join our academic community as part-time Lecturers for the graduate-level course on Financial Securities Analysis and Portfolio Management. As primary instructors, Lecturers play a crucial role in shaping the educational experience and fostering engagement within the faculty community. This course provides an in-depth exploration of financial securities analysis and investment strategy design, covering key topics such as theoretical foundations, valuation models, and active portfolio management practices.Key Responsibilities:Deliver engaging lectures and lead instructional activities and classroom discussions. Ensure attendance at all scheduled class sessions.Proactively address and resolve student queries and concerns.Assess and grade student assignments and evaluations.Hold regular office hours to provide additional support to students.

The School of Professional Studies at Columbia University is actively seeking seasoned industry professionals to join our academic team as part-time Adjunct Associate Faculty for a graduate-level course in Cloud Computing. This position provides a unique opportunity to contribute to the instructional process while gaining valuable experience in graduate-level teaching at Columbia University.The Cloud Computing course is designed to expose analytics students to practical applications and concepts of cloud computing, including infrastructure, administration, and various services and applications. Emphasis will be placed on developing hands-on skills for utilizing cloud services to create distributed and scalable analytics applications.Key ResponsibilitiesParticipate in all class sessions, support instructional delivery, lead breakout sessions, and facilitate engaging discussions.Assess and grade student submissions and evaluations as mandated by the course Lecturer.Address and manage student inquiries and concerns proactively.

Join our team at Columbia University as a part-time Adjunct Associate Faculty for an advanced course on AI User Interfaces for Analytics. This role offers analytics professionals an exceptional opportunity to contribute their expertise while gaining valuable experience in graduate-level education at one of the leading institutions in the world.Key ResponsibilitiesParticipate in all class sessions, assist with instructional delivery, lead breakout discussions, and engage students in meaningful dialogue.Conduct class lectures and oversee instructional activities, ensuring a conducive learning environment.Assess and grade student assignments and assessments as required.

Columbia University is actively seeking qualified professionals to join our team as part-time Adjunct Associate Faculty for the graduate-level course titled Introduction to Blockchain, Cryptocurrencies & Analytics. This course is designed to impart essential knowledge about blockchain technology and cryptocurrencies to our Master of Science students in Applied Analytics. Topics covered will include cryptographic protocols, hashing, digital signatures, transaction chaining, decentralization through proof of work mining, and smart contracts.The role of an Adjunct Associate Faculty member is pivotal for providing expertise and facilitating the learning process within the course. This position offers an excellent opportunity to gain valuable experience in graduate-level education at Columbia University.

Columbia University is seeking experienced analytics professionals to join our faculty as part-time Adjunct Associate Faculty for a graduate-level course titled Analytics for Cybersecurity Management. This role offers a unique opportunity to contribute your subject matter expertise and support the instructional process for aspiring cybersecurity leaders. Engaging in this capacity will provide valuable exposure to the academic environment at Columbia University.This course serves as a comprehensive introduction to foundational cybersecurity principles, including network security, threat detection, and vulnerability management. It emphasizes the transformative impact of emerging technologies such as AI and machine learning on modern defense strategies. Participants will engage with key frameworks and advanced tools through real-world case studies, gaining insights into the role of analytics in effective threat intelligence, incident response, and regulatory compliance.Students will enhance their practical skills through hands-on exercises and interactive assignments, culminating in a project focused on automating vulnerability analysis. They will learn critical tasks such as log parsing, vulnerability classification, dashboard visualization, and AI-driven anomaly detection, while also addressing ethical, legal, and regulatory issues in cybersecurity. By the conclusion of the course, participants will be equipped to design proactive defense measures and adeptly navigate diverse threat landscapes, leveraging AI and analytics to bolster digital security against evolving cyber threats.Key ResponsibilitiesAttend all class sessions, assist with instruction, lead breakout sessions, and facilitate engaging discussions.Evaluate and grade student assignments and assessments as directed by the course Lecturer.Monitor student progress and address any concerns or inquiries in a timely manner.

Columbia University is seeking skilled analytics professionals to join us as part-time Adjunct Associate Faculty for a graduate-level course on Artificial Intelligence of Things (AIOT) starting in Fall 2026. This role provides an exceptional opportunity to engage in graduate-level teaching while contributing subject matter expertise and supporting the instructional process.The course aims to equip students with a thorough understanding of IoT technologies and their integration with AI and robotics. Participants will delve into IoT architecture, critical components, and communication protocols, and will gain hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIOT applications for real-time decision-making in various sectors, including manufacturing, public safety, smart cities, and healthcare, while also addressing ethical considerations associated with these technologies.Through a combination of conceptual learning and practical assignments, the course features weekly lectures, readings on IoT fundamentals, and biweekly quizzes to evaluate understanding. Students will apply their knowledge through individual assignments and a collaborative term project, ensuring a solid foundation in IoT analytics and AI-driven robotic automation.

The Applied Analytics program at Columbia University is excited to invite seasoned data analytics professionals to join our team as a part-time Associate Faculty  for the graduate-level course Applied Deep Learning and AI. This advanced course immerses students in deep learning concepts, integrating essential components from Statistical Machine Learning. Participants will establish a robust foundation in supervised learning alongside various algorithms and methodologies. Key topics include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversarial Networks (GAN), and Reinforcement Learning. Practical applications will provide students with insights on preparing, training, testing, and validating models.An Associate Faculty member plays a pivotal role in delivering subject matter expertise and enhancing the instructional experience for course participants. This position offers an exceptional opportunity to gain invaluable exposure to graduate-level teaching within the prestigious environment of Columbia University.Responsibilities:Attend and engage in all on-campus class sessions, assist with instruction, lead breakout discussions, and facilitate student engagement.Evaluate and assess student work as directed by the course Lecturer.Address student inquiries and concerns proactively.Conduct regular office hours for student support.

Columbia University is on the lookout for analytics professionals to join as part-time Adjunct Associate Faculty for an advanced course on Applied Generative AI in Fall 2026. This role offers an incredible opportunity to gain firsthand experience in graduate-level teaching while contributing to the academic community.The Applied Generative AI course introduces students to the fascinating field of generative modeling, a vital aspect of machine learning. Participants will explore theoretical foundations, practical applications, and gain hands-on experience using high-level APIs and open-source foundational models. The curriculum covers essential methodologies for employing, fine-tuning, and programmatically working with cutting-edge Generative AI tools. Students will also delve into the intricacies of low-level model implementations, empowering them to train and understand models based on their data, from foundational principles. Various generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers, will be examined, with applications spanning text, image, audio, and video generation.Key ResponsibilitiesParticipate in all class sessions, assist with instructional duties, lead breakout sessions, and facilitate engaging discussions.Assess and grade student assignments and evaluations as directed by the course Lecturer.Address student inquiries and concerns in a timely and supportive manner.

Columbia University is seeking skilled analytics professionals to join our faculty as a part-time Adjunct Associate for the graduate-level course Mathematics for AI. As an Adjunct Associate, you will provide essential subject matter expertise and support the instructional process for this course section, gaining valuable exposure to graduate-level teaching at Columbia University.Key Responsibilities:Participate in all class sessions, assist with teaching, and lead breakout sessions to enhance student engagement.Deliver class lectures and facilitate discussions, ensuring a rich learning environment.Assess and grade student assignments and assessments as requested by the course Lecturer.Monitor student inquiries and concerns, providing timely support and guidance.

The School of Professional Studies at Columbia University is on the lookout for a dedicated data analytics professional to join us as a part-time Adjunct Associate Faculty in our graduate course, Applied Analytics Frameworks & Methods I.In today's data-driven world, vast amounts of information are generated at unprecedented speeds through business transactions, online interactions, social media, and various sensors. This influx provides unique opportunities for predicting outcomes and understanding phenomena across diverse fields, including medicine, business, and space exploration. Our course emphasizes supervised learning techniques that facilitate effective predictions and insights. Students will navigate the data-wrangling process, starting with data exploration and foundational methodologies, before diving into supervised learning techniques such as linear regression, decision trees, and support vector machines. Additionally, students will engage in a predictive analytics competition to apply and integrate their learning.As an Adjunct Associate Faculty member, you will play a pivotal role in supporting the instructional process and providing subject matter expertise. This position is an excellent opportunity to gain experience in graduate-level teaching at Columbia University.Key ResponsibilitiesAttend all scheduled class sessions, assist with instruction, lead breakout sessions, and facilitate discussions.Evaluate and grade student work and assessments as directed by the course Lecturer.Address and respond to student concerns and inquiries.

Columbia University invites accomplished analytics professionals to join as part-time Adjunct Associate Faculty for the graduate-level course on Managing Data. This position offers a unique opportunity to gain firsthand experience in graduate-level teaching while providing critical subject matter expertise. As an Adjunct Associate Faculty member, you will support the instructional process and engage with students in a dynamic learning environment.The Managing Data course equips students with essential skills for effective data management, enabling them to leverage data confidently in collaboration with technology teams. The curriculum addresses the challenges posed by diverse data languages and techniques, offering a comprehensive overview of data technologies, database engines, foundational principles, governance processes, and organizational requirements to ensure data quality.Key ResponsibilitiesAttend all class sessions, assist in instructional activities, lead breakout sessions, and facilitate engaging discussions.Evaluate and grade student assignments and assessments as directed by the course Lecturer.Address student inquiries and concerns promptly and effectively.

Brooklyn Investment Group is a registered Investment Adviser with the SEC, utilizing cutting-edge technology from its parent company, Brooklyn Artificial Intelligence Research. This innovative approach combines advanced portfolio optimization with automated tax-loss harvesting, allowing us to create personalized investment strategies for a diverse range of clients, including financial advisory firms and asset managers.In the last five years, Brooklyn Artificial Intelligence Research has engineered one of the most sophisticated engines for tailored investment portfolios, successfully trading over $5 billion through these strategies.Our dynamic team of over 20 quantitative investors, machine learning experts, and software engineers hails from prestigious universities and leading financial institutions such as Goldman Sachs, Citadel, and Bridgewater Associates.Career Opportunity If you are passionate about the evolving integration of finance and technology, this position offers an exceptional opportunity. At Brooklyn, we are committed to harnessing the transformative power of technology to reshape portfolio management and trade execution. Join us in developing one of the industry's most advanced portfolio management platforms.As a Portfolio Management Engineer, you will serve as the primary point of contact for our clients, operational partners, and custodians. Your main responsibilities will include creating innovative tools to enhance portfolio management, streamline trade execution, and improve reconciliation processes. You will work closely with teams across quantitative analysis, engineering, research, and trading to foster seamless workflows and drive innovation.

The School of Professional Studies at Columbia University is actively seeking seasoned industry experts to join our faculty as part-time Lecturers for our graduate-level course in Cloud Computing. As primary instructors, Lecturers play a crucial role in shaping the academic environment and fostering a vibrant faculty community.This course serves to immerse analytics students in the essential concepts and practical applications of cloud computing, with a focus on infrastructure management and the deployment of services and applications. The curriculum is designed to equip students with hands-on skills necessary for building distributed and scalable analytics applications using cloud technologies.Key ResponsibilitiesDeliver engaging lectures, facilitate instructional activities, and lead classroom discussions. Commitment to attending all scheduled class sessions.Proactively address student concerns and inquiries to ensure a supportive learning environment.Assess and grade student assignments and evaluations with fairness and transparency.Hold regular office hours for student consultations and guidance.

We are looking for an experienced Portfolio Manager who possesses a comprehensive understanding of market inefficiencies and is adept at capturing them. The ideal candidate will have significant involvement in both the research and implementation of strategies, demonstrating the ability to develop new approaches from conception to execution. The Portfolio Manager will also exhibit a solid grasp of market dynamics, leveraging this knowledge to qualitatively assess the performance of their strategies, identifying when they excel and when they encounter challenges.

Role overview hmgroup is hiring a Financial Planning & Analysis (FP&A) Manager in New York. This position manages core financial processes, including budgeting, forecasting, and analysis. The FP&A Manager plays a key role in tracking financial targets, providing insights that shape business strategy, and supporting decision-making throughout the company. What you will do Lead the budgeting and forecasting processes Examine financial results and trends to highlight risks and opportunities Create and present financial reports and recommendations to company leadership Contribute to strategic projects by offering data-driven analysis Team culture Join a group that values innovation and collaboration. The team focuses on delivering strong results for clients while maintaining a supportive and inclusive workplace.

Join LVMH Perfumes & Cosmetics as an Associate Manager of Financial Planning & Analysis, where you will play a crucial role in our finance department. You will be responsible for supporting financial strategies, providing insights that drive business decisions, and ensuring the financial health of our brands. Collaborate with cross-functional teams to analyze financial performance and identify areas for improvement.

Position Title: Associate Director, Financial Planning & Analysis Company: KBRA Holdings LLC Employment Type: Full-Time Location: New York, New York Overview: Join our dynamic Finance team at KBRA Holdings LLC as we seek a motivated and skilled individual specializing in Financial Planning & Analysis (FP&A) to support our rapid expansion. In this role, you will play a pivotal part in budgeting, financial modeling, strategic decision support, and enhancing our reporting processes for both internal and external stakeholders. The ideal candidate will lead the design and implementation of scalable financial systems and processes that meet the diverse needs of our stakeholders. About Our Team: Our Finance team is instrumental in empowering senior management to make informed, data-driven decisions quickly. We focus on long-term strategic planning, forecasting, and provide critical analysis for the executive team while spearheading initiatives for Management Information Systems (MIS) transformation. Your Role: As the Associate Director of FP&A, you will collaborate closely with the Head of FP&A, engaging in various core business functions and strategic initiatives. You will facilitate the operating model, manage the budgeting and forecasting process, and assist in the financial reporting to key stakeholders. Your analytical skills will help identify financial trends, conduct trend analysis, and prepare insightful deliverables for executive leadership, enabling our team to highlight variances and drive operational improvements. Qualifications: Master's Degree in Business Administration (MBA) is preferred, but not mandatory. Minimum of 5 years of relevant experience in financial planning and analysis. Proficient understanding of GAAP and foundational accounting principles. Demonstrated expertise in financial modeling, forecasting, and strategic financial analysis. Strong analytical and problem-solving skills with the ability to communicate complex financial information clearly. Experience with financial reporting tools and software.

Based in New York, RXR is a dynamic investment manager with a robust platform comprising over 450 professionals. Our expertise spans a diverse range of value creation activities including acquisitions, asset and portfolio management, real estate operations, development, construction, leasing, and innovative technology solutions. RXR actively invests in real estate credit, rental housing, commercial properties, and property technology utilizing value-added and opportunistic investment strategies.Job OverviewThe Associate will play a pivotal role in managing RXR’s existing and new real estate private equity and debt funds. Responsibilities include overseeing daily fund and portfolio operations, financial forecasting, and ensuring seamless coordination among internal teams for the successful execution of portfolio business plans. This position also involves supporting investor reporting through the synthesis of portfolio insights, ensuring timely and accurate communication of fund updates and materials to Limited Partners (LPs). The Associate will blend operational precision with investment acumen to facilitate smooth fund operations and keep investors well-informed. Collaboration with acquisitions, asset management, strategy and product development, and accounting teams will be crucial for generating in-depth analytics, maintaining portfolio models, and aiding strategic capital allocation decisions.