Sylvia Bier

Our direct client, a prestigious global firm, seeks an experienced consultant with 8-10 years' experience to join the team for a long-term (12 Mo + Project).  The consultant will play a key role in building modern data solutions that drive transformation and innovation. This consultant will focus on data ingestion, transformation, and analytics—delivering scalable, high-performance solutions that position the firm for the future.

The ideal candidate will have a proven track record of designing and implementing end-to-end data pipelines and analytics platforms. While expertise in Microsoft Fabric is an advantage, the consultant should be capable of assessing and articulating opportunities beyond the Microsoft stack to identify the best technologies for the firm's evolving needs.

Key Responsibilities:

• Design and develop data ingestion, transformation, and analytics solutions that enhance decision-making and operational efficiency.
• Work closely with stakeholders to identify business opportunities and technical strategies that align with long-term data goals.
• Provide insights into MS Fabric capabilities while also evaluating other cloud and open-source data solutions for the best fit.
• Build scalable, high-performance data platforms, ETL pipelines, and analytics workflows.
• Drive best practices for data governance, security, and compliance in a global enterprise environment.
• Collaborate with cross-functional teams including business leaders, data scientists, and IT teams to develop holistic solutions.
• Optimize data architecture, storage, and processing frameworks for efficiency and cost-effectiveness.

Qualifications & Experience:

• 8-10 years of hands-on experience in data engineering, analytics, or cloud-based data solutions.
• Strong expertise in data ingestion, transformation, and analytics pipeline development.
• Familiarity with Microsoft Fabric and the ability to evaluate its role in a modern data ecosystem.
• Experience working with cloud platforms (Azure, AWS, GCP) and hybrid data solutions.
• Hands-on knowledge of ETL tools, data lakes, data warehouses, and modern analytics frameworks.
• Proficiency in SQL, Python, Spark, or other data engineering languages.
• Strong understanding of data governance, security, and compliance requirements.
• Ability to translate business requirements into technical solutions and articulate benefits to stakeholders.

Note this position is 3 days/week (Tuesday-Wednesday-Thursday)  on-site in Montvale, New Jersey.   Candidates must reside or move themselves to be within driving distance of the work-site.  

A/V Senior Engineer, Product – Assistant Vice President

Are you passionate about cutting-edge audio-visual (A/V) technology and ready to lead in a global, fast-paced environment? Our client, a fast-growing, well-established fintech company with US offices in NYC, CT and NJ and global offices in Canada, Portugal, Switzerland, London, Singapore, Japan, and Hong Kong seeks a Senior A/V Systems Design Engineer (Assistant Vice President) to join the team and take ownership of high-level A/V design, productization, and innovation for the rapidly expanding corporate A/V footprint.    This is a full-time position with competitive salary and bonus, and terrific benefits.   Hybrid work environment,  in the office Monday-Thursday, with the flexibility to work remotely on Friday.  About the Company

Our global A/V team works collaboratively with internal stakeholders, peer technology groups, and third-party vendors to support locations across the US, Canada, Europe, and Asia. We pride ourselves on delivering seamless, state-of-the-art A/V experiences that empower our teams worldwide. Your Role

Reporting to the Global Head of A/V, you will:

• Design and Innovate: Develop comprehensive A/V system designs tailored to user needs for conference rooms, digital signage, production studios, and more. Establish and maintain scalable A/V standards across our global operations.
• Implement and Lead: Oversee A/V projects from conception to completion, ensuring all designs meet company standards. Configure, test, and commission systems to deliver flawless integration.
• Support and Troubleshoot: Provide Tier 3 technical support for A/V systems, including Zoom and Microsoft Teams platforms. Diagnose and resolve complex technical issues while collaborating with vendors and manufacturers.
• Engage and Train: Collaborate with IT and Workplace Services to align A/V solutions with user needs. Conduct demonstrations and train teams to ensure smooth operation and maintenance of A/V systems.
• Drive Innovation: Stay ahead of industry trends, championing improvements that enhance system performance and user satisfaction.

What You Bring

• Experience: 7+ years in A/V systems design, installation, and support, with expertise in tools like AutoCAD, Bluebeam, Vector Works, and Visio.
• Technical Mastery: Proficiency in A/V components (displays, sound systems, control systems) and collaboration platforms (Zoom, Microsoft Teams). Advanced knowledge of A/V networking and schematics.
• Leadership: Proven ability to manage design cycles, mentor teams, and align initiatives with organizational goals.
• Certifications: AVIXA CTS, CTS-D (Design), or CTS-I (Installation) certifications are required.
• Skills: Strong troubleshooting, organizational, and presentation skills, coupled with a continuous learning mindset and a knack for innovation.

Why Join Us?

• Be part of a global team driving the future of A/V technology.
• Work on diverse, impactful projects that shape the way our teams collaborate.
• Enjoy a supportive, inclusive culture that values growth and innovation.

Are you ready to design the future of A/V systems and leave a lasting impact on a global stage? Apply now to join our team as the AV Senior Engineer, Product – Assistant Vice President and take your career to new heights!  Send resume today for immediate consideration.    

About the Role 

For our direct client, a leading fintech company in NYC, we seek a passionate Data Analyst to join the company's Data Platform team. The successful candidate will turn data into information, information into insight and insight into business decisions. Data is core and central part of the company. Data driven decisions are very critical, as a result, we are looking for a Data Analyst who will not only be able to use the data but also understand it and help make actionable decisions. Data Analyst quickly grasps complex and fluid business problems and is the bridge between the Data Engineers and Stakeholders. If you love using the latest technologies, working on creative software projects, and/or thinking about innovative new business plans in your spare time, read on.

The Data Warehouse Data / Business Analyst should have experience in creating business requirement and technical design documentation, specifically for the development of ETL applications.  This role requires extensive SQL experience, such as writing complex queries across multiple tables, and data analysis and profiling skills for the creation of design documentation and discussions with data modelers.  The ideal candidate should also have strong verbal and written communication skills to work with stakeholders to gather and formulate business requirements, and then translate to technical documentation.  The candidate will also be comfortable supporting testing, and production accuracy after deployments.

How You Will Fulfill Your Potential

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

• Interpret, analyze and model the data from various data sources into Data Lakehouse.

• Develop and implement databases, data collection systems, data analytics and other strategies that optimize efficiency and quality

• Acquire data from primary or secondary data sources and maintain databases/data systems

• Identify, analyze, and interpret trends or patterns in complex data sets

• Filter and “clean” data by reviewing/comparing source data and performance indicators to locate and correct code problems

• Work with management to prioritize business and information needs

• Locate and define new process improvement opportunities

What We’re Looking For

• 6+ years of experience as a Data Analyst and Business Data Analyst

• Experienced in creating Business Requirement and Technical Design Documentation, in specific to ETL and Data Lakehouse Development

• Extensive SQL experience, such as writing complex queries across multiple tables, data analysis and profiling skills.

• Design efficient data modeling techniques to source data into Data Lakehouse to build strong reporting and data integrations.

• Experienced in suggesting Tactical and Strategic Data Solutions.

• Must have strong verbal and written communication skills to work with stakeholders to gather and formulate business requirements, and then translate to technical documentation

• Familiarity with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases.

• Familiarity with various database designs (Relational, Columnar, NoSQL)

• Some background in probability/statistics

• Detail-oriented, ability to multitask and work in a fast-paced environment

• Ability to work independently while also being a strong team player

• Passionate about cutting-edge technologies

Preferred Qualifications

• Master’s in Computer Science, Data Science or related field

• Proven working experience as a Data Analyst or Business Data Analyst

• Technical Expertise regarding data models, database design development, data mining and segmentation techniques

• Strong knowledge of reporting packages (Tableau etc) and experience with databases (SQL etc), programming (XML, Javascript, or ETL frameworks)

• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)

• Strong Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

• Adept at queries, report writing and presenting findings

• Good knowledge of financial markets and financial instruments

 

 

Benefits 

The base salary range for this role is $120,000 to $160,000.

The company offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer-matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off.

Send resume today for immediate consideration!

 

AI/ML – NLP Engineer – Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for an AI/ML NLP Engineer.  The team is developing cutting edge solutions to establish a unique competitive edge for the firm. As a senior AI/ML - NLP Engineer on our team, you will be responsible for designing, developing, and implementing AI/ML models for natural language processing (NLP) applications. This would involve working with large datasets, selecting appropriate algorithms and techniques, training or fine-tuning models to achieve optimal performance, and deploying and monitoring model performance in production. You will be working in a collaborative team environment across product management, data engineering, and software engineering teams. If you are passionate about leveraging machine learning techniques to drive innovation and have a strong background in developing scalable solutions, we would love to hear from you. 2 or 3 days onsite work in the NYC midtown office is required.  Base salary is in the $160-200K range DOE, plus generous bonus and stock options.  Responsibilities

• Design, develop, train, and deploy AI/ML models to solve business problems through a full development and production cycle in the FinTech domain. 
• Evaluate and compare the performance of different AI/ML algorithms and models. 
• Utilize and improve Machine Learning Operations (MLOps) pipelines and procedures to ensure efficiency, scalability, and maintainability. 
• Ensure the reliability, robustness, and scalability of machine learning models in production environments. 
• Collaborate with cross-functional teams, including product managers and full stack engineers, to deliver scalable machine learning solutions. 
• Understand business requirements, communicate with stakeholders, and mentor junior team members. 

Qualifications

• 4-6+ (mid-career) years of experience as a hands-on data scientist or AI/ML engineer in AI/ML/DS fields. 
• Advanced degree (Masters, PhD) in a relevant field (AI/ML/DS, mathematics, computer science, etc.).  
• Experience working with Large Language Models, such as GPT-4, Llama 2, and other commercial or open-source models in production environment.  
• Proficiency in programming languages commonly used in NLP, such as Python, and libraries/frameworks like TensorFlow, PyTorch, or spaCy and strong understanding of software engineering principles and best practices. 
• Strong knowledge of NLP techniques, including text data preprocessing (tokenization, stemming, and text normalization, etc.) and information extraction (summarization, and question answering, etc.) 
• Knowledge of machine learning algorithms and statistical techniques, their limitations and implementation challenges 
• Experience with cloud platforms and distributed computing environments for NLP tasks, such as AWS, Google Cloud, or Azure 
• Experience with software development best practices, including source control (Git), CI/CD pipelines, testing, and documentation.   
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, agile environment. 
• Strong communication skills and the ability to effectively articulate technical concepts to both technical and non-technical audiences. 

Nice to Haves:

• Publications, conference talks, and/or patents in AI/ML/DS or related fields 
• Experience with data visualization tools and techniques to effectively communicate and present findings. 
• Experience with data transformation tool (such as dbt) and orchestration tool (such as Airflow). 
• Portfolio of personal projects on Github, BitBucket, Google Colab, Kaggle, etc. 
• Experience working in Finance or Financial Technology (FinTech). Understanding of regulatory and compliance requirements in the financial industry and their implications for machine learning applications. 

Back-end Python Engineer - VP Level - Hybrid Our direct client, a fast-growing FinTech firm in New York City, very close to Grand Central Station, seeks a a Senior Blockchain / Backend Engineer.  The client is a leading platform for the world’s alternative investment marketplace. Their financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. Their services are  approximately $200 billion in global client assets invested in 1,634 funds, as of September 2024.    The firm has been named to the Forbes Fintech 50 for seven consecutive years (2018-2024); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a four-time winner of MMI/Barron’s Solutions Provider award.   About the Role The firm's Distributed Ledger Technology team is looking to hire a Senior Blockchain / Backend Engineer to develop an industry-wide distributed ledger solution for the alternative investment ecosystem to facilitate access to private markets investments for advisors and their high-net-worth clients using innovative technology solutions. Candidates should be able to understand complex business problems, scope projects, identify business opportunities, optimize workflows, and communicate their findings across all levels of the organization. This role is highly visible and involves working closely with other teams in Engineering, Product, senior leadership, and industry partners.      Responsibilities

• Design and implement a private and permissioned distributed ledger using DAML / Canton and other open source blockchain frameworks
• Build and maintain a RESTful API using Python and FastAPI
• Provide technical leadership to motivate and guide team members and mentor junior engineers
• Actively participate in daily stand-up meetings
• Actively participate in Peer Code Reviews as part of our standard SDLC and Change
• Stay current with the latest developments in blockchain technology and incorporate them into the ecosystem

  Qualifications

• 5+ years software engineering experience building enterprise SaaS cloud-based solutions
• 2+ year technical leadership and management experience 
• Experience with DAML, Solidity, or other blockchain programing languages
• Experience with Python and FastAPI
• Demonstrated understanding of relational database concepts and modeling practices
• Experience building APIs for large scale applications using AWS
• Experience with tokenization and blockchain-based investments
• Familiarity with security best practices and encryption techniques
• Basic knowledge of finance and business (e.g., capital markets, alternative investments)
• Excellent writing, communication, and presentation skills
• Exceptional ability to understand client needs, scope projects, develop detail-oriented execution plans, and communicate results
• An entrepreneurial hunger to own problems from start-to-finish, manage projects, overcome operational bottlenecks, and execute effectively

   Benefits   This position offers a very compensation package which includes salary, equity, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). Apply today for immediate consideration!