Kara Mahony

Data Scientist: Our direct client, a fast-growing fintech firm, is seeking a Data Scientist.  The AI/ML team is developing cutting edge solutions to establish a unique competitive edge for the company. The Data Scientist role will play a key role in developing AI models and engineering firm’s core machine learning and AI products. This individual will be working in a collaborative team environment across machine learning, product management, data engineering, and software engineering teams. The ideal candidate will be passionate about leveraging machine learning techniques to drive innovation and have a strong background in researching and developing AI models. This position is based in New York City, 4 days per week onsite is expected the base salary is in the $140-160K range, DOE, plus bonus and stock options. Responsibilities

• Build and integrate AI/ML/DS tools and workflows to address business needs and increase business efficiency. 
• Support the design, development, training, and deployment of AI/ML models and engineering solutions to solve business problems through a full development and production cycle in the FinTech domain. 
• Build and leverage new and existing tools for Large Language Model (LLM), Natural Language Processing (NLP), Optical Character Recognition (OCR), and intelligent document processing tasks. 
• Evaluate and compare the performance of different AI/ML algorithms and models. 
• Contribute to the improvement of 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 machine learning engineers, product managers and full stack engineers, to deliver scalable machine learning solutions. 

Qualifications

• 4+ years of experience as a hands-on data scientist or AI/ML engineer in AI/ML/DS fields 
• Advanced degree in a relevant field such as AI, ML, Data Science, mathematics, or computer science. 
• Experience building ML and AI models and systems in a production environment in at least Generative AI/LLM or NLP applications 
• Experience working with LLM, such as GPT-4, Llama 3, Mistral, and other commercial or open-source models in a production environment 
• Knowledge of NLP techniques, including text data preprocessing (tokenization, stemming, and text normalization, etc.) and information extraction (summarization, and question answering, etc.) 
• Proficiency in programming languages in Python, and libraries/frameworks like TensorFlow, PyTorch, spaCy and scikit-learn, etc 
• Strong knowledge of machine learning algorithms and statistical techniques, their limitations, and implementation challenges 
• Experience with cloud platforms and distributed computing environments, such as AWS, Google Cloud, or Azure 
• Direct contributions to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results 
• Strong problem-solving skills and able to work independently and collaboratively in a fast-paced, agile environment 
• Strong communication skills and able to effectively articulate technical concepts to both technical and non-technical audiences 
• Experience with data visualization tools and techniques to effectively communicate and present findings 
• Publication record as a lead author or essential contributor at top venues such as CHI, NeurIPS, UIST, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, and/or ICAPS 
• Portfolio of personal projects on Github, BitBucket, Google Colab, Kaggle, etc. 
• Understanding of regulatory and compliance requirements in the financial industry and their implications for machine learning applications 
• Experience with software development best practices, including source control (Git), CI/CD pipelines, testing, and documentation 
• Familiar with database integration principles and practices, including SQL and NoSQL databases and data warehouse solutions, such as Snowflake 
• Experience with data transformation tools, such as dbt, and orchestration tools such as Airflow 

Our direct client looking for a value driven IT Technical Support Specialist - SAP User Provisioning to join their IT department’s Helpdesk team. This position provides leadership, knowledge and technical skills to support the company's SAP landscape and general IT support. You will collaborate with Business Analysts, Technical Support Engineers and SAP consultants.

They are embarking on an exciting journey to migrate to SAP's HANA based systems and this role will also be supporting those efforts. This position will be based in their Monroe, CT office. After 3 months of employment, you will be eligible for a hybrid schedule. 

Principal Responsibilities

• Use SAP tools to configure, maintain and delete SAP roles and user accounts within SAP modules. (e.g., Core ECC, CRM, BW Mobile and Portal)
• Maintain an auditable change management workflow for SAP role modification requests and user access changes.
• Maintain a consistent process for testing, implementation, and maintenance of roles across SAP applications.

• Work with end-users and the Help Desk to quickly resolve user access and configuration issues.
• Assist in the design of new functionality as additional requirements are identified by users.
• Work with internal and external auditors in the identification and correction of access points within SAP.
• Escalate issues to IT Management team and BASIS administrator in a timely manner

• Provide IT help desk support including technical troubleshooting for all personal computer hardware (desktops, laptops, monitors, scanners, mobiles, etc.), all corporate standard software (Windows 10/11, Office 365, other business applications.), Windows networks and Citrix Metaframe servers and clients. 

• Assist in the documentation and maintenance of all help desk policies and procedures, instructional documentation, technical specifications, test plans, etc.

Preferred Requirements

• Broad working knowledge of Microsoft software applications including Windows 10/11, Office 365, and PC-compatible hardware. Basic SAP and S4 HANA knowledge strongly preferred.

• Managing SAP User ID Permissions with Active Directory Group Administration.

• Experience in communicating technical material to non-technical internal customers and to all levels of employees within the corporation.

• Understanding and use of remote access technology.

• Excellent customer service skills, particularly telephone skills.

• Must be self-motivated and able to make decisions independently.

• Project management knowledge and practical experience 

• Strong analytical skills, ability to conceptualize, analyze, and take action

• Proven ability to handle random, frequent, concurrent, and often complex situations.  Must be technically knowledgeable and have extremely strong problem-solving skills.

• Able to conceptualize problems and set priorities.

• Must be able to manage multiple tasks while also meeting project commitments.

Education/Certifications

• Bachelor's degree in computer science or related discipline preferred.
• IT certifications or training a plus
• 4+ years of hands-on experience with SAP security administration and implementation across multiple SAP landscapes
• Exposure of SAP Basis and application modules

Sr. Product Manager - FinTech: Our direct client, a fast-growing FinTech firm in New York City, is looking for a Sr. Product Manager.  In this role, you will be focusing on alternative investments. The position will offer this individual the opportunity to work with and support the head of the Advisor Platform Product team on multiple projects.   4 days onsite work in the NYC midtown office is required.  The base salary is in the $200-250K range DOE, plus generous bonus and stock options.  Responsibilities

• Execute strategic initiatives of the Advisor Platform organization, including the follow-through and delivery of our initiatives to reimagine and rearchitect the platform, in partnership with the technology organization. Hold teams accountable for delivery and drive us towards our goals.
• Lead product efforts for large scale new business initiatives from original ideation through phases of delivery and timely execution
• Drive cohesiveness across teams within the Advisor Platform group to ensure the entire organization is rowing in the same direction with a singular set of priorities.
• Identify areas of inefficient or suboptimal process across the team and drive change that sets the firm up for 10x growth & scale.
• Be a vocal senior member of the Product organization, meeting with internal stakeholders to keep leadership abreast of team and project updates.
• Build relationships outside of Product to organically begin connecting the dots across the company and solidifying a cohesive go-to-market for the Advisor Platform.  
• Manage, lead, and execute one-off projects that support the growth of the Advisor Platform globally, such as the liaising with Product leads across the globe as we build a singular platform that serves our global business.

  Qualifications

• 7-10+ years in a strategic Product focused role.
• Finance/fintech experience is preferred.
• Bachelor’s degree required, advanced degree a plus.
• Exceptionally strong organizational skills and communication skills are required.
• Able to work with cross-functional teams and manage multiple products; Experience organizing and directing multiple teams and departments.
• Experience in planning and leading strategic initiatives.