Sylvia Bier

• 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. 

• 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. 

• 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. 

• Leverage open-source technologies and cloud solutions to build elegant features that users love. 
• Develop and automate large scale, high-performance data platform infrastructure to drive the business growth and enable data-driven organization. 
• Design and develop reusable components and frameworks for ingestion, cleansing, and data quality. 
• Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse. 
• Design data models for optimal storage and retrieval that represent the product entities and meet business requirements. 
• Design and develop in Salesforce and Apex to automate processes and meet a variety of business needs. 
• Coordinate closely with sales and product development teams daily to push firm’s strategy and improve the overall profitability of our business. 

• Bachelor’s or Master’s degree in computer science, data science, mathematics, statistics or other quantitative area or related field 
• 1-4 years of experience with open-source technologies or object-oriented/functional programming, strong ability to write easy-to-scale, and high-quality code 
• Experience in at least one numeric research framework (python/pandas, R/Splus, Octave/Matlab) 
• Familiar with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases 
• Familiar with various database designs (Relational, Columnar, NoSQL) 
• Experience with Salesforce development, Apex, and working with Apex classes, batching, bulk processing, triggers, events and event buses, and writing test classes 
• Experience using probability/statistics 
• Detail-oriented, able to multitask, and work in a fast-paced environment 
• Passionate about programming and cutting-edge technologies 
• Professional experience with Python and JVM based languages such as Scala, Java, and Kotlin is preferred 
• Experience building data-pipelines, data-lakes and data warehouses is preferred 
• Good knowledge of financial markets and financial instruments is preferred 
• Experience with AWS solutions such as Lambda, S3, Kinesis, ElastiCache is preferred 
• Familiar with AWS and infrastructure-as-code (terraform or cloud formation) is preferred 
• Familiar with the use and restrictions of PII data for analysis, research, development, and testing is preferred 

Our direct client, a global firm in Northern NJ, seeks an experienced Business Analyst to work on requirements for a new software project, where the client is building an application used in business risk management.  

Responsibilities include:

•         Collaborate with business process leads to gather the high-level business requirements, documenting the findings and decisions within acceptable standards and templates

•         Work with a multi-disciplinary team on the development and implementation of new software applications.  

•         Analyze the impact to integration points and ensure that design can meet the need

•         Perform requirements development, analysis, and create related documentation, i.e. use cases, business process diagrams, use case realizations, user interface storyboards/prototypes, report mockups, data conversion specifications, specific to this new application. 

•         Create the detailed functional specifications document

•         Translate requirements and work with IT on the development of implementation options to be then played back and serving as an interface to the business process leads

•         Ensure traceability from business requirements through application testing

•         Interface with the Testing team and help them to prepare for testing

•         Review test cases, and test scripts developed by the Testing team, as well as perform spot checking to ensure functionality meets business requirements

•         SME with regards to application functionality and ability to validate if a reported issue is a defect or an enhancement

•         Work with the other members of the development, QA, testing and business teams to clarify requirements and application functionality

•         Support and enable delivery of projects through completion

•         Must be able to communicate requirements effectively to technical and non-technical stakeholders

Desired Skills:

•         Able to identify ambiguity and propose necessary specificity to eliminate ambiguity and ensure alignment with Business Process Lead’s intent

•         Strong software design skills and usability

•         Strong analytical and organizational skills

•         Strong critical thinking and problem-solving skills

•         Strong communication skills, both verbal and written

•         Strong interpersonal skills, with the ability to work with many levels of management, and interface between technical team and business owners

•         Must be a self-starter with a sense of urgency, strong work ethic and results oriented team player

•         Has strong experience working on large global projects

•         Proficient in Microsoft Office Suite applications including Word, Excel, Project, Visio, SharePoint/Teams, and Power Point

Desired Experience/Knowledge 

•          4-5 years of hands on Business Analysis experience in a complex regulated environment

•          Strong experience with Microsoft tools such as Word, Excel, Visio, PowerPoint, Teams;  preferred exposure to Azure DevOps.

•          Skillful in requirements elicitation, analysis, and management for medium to large initiatives while interacting with multiple stakeholders in a matrix organization

•          Exceptional verbal and written communication skills, proficient at communicating/interacting professionally with diverse groups, clients, executives, managers, and subject matter experts

•          Professional designation such as CBAP, PMP, Six Sigma or comparable methodologies strongly encouraged

•          Proficient with industry-standard, structured business analysis techniques, and practices

• 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. 
• Build and maintain reusable UI components in React using Typescript. 
• Provide technical leadership to motivate and guide team members and?mentor junior engineers. 
• Be an active participant in daily stand-up meetings and 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 our ecosystem. 

• 8+ years software engineering experience?building?enterprise SaaS cloud-based solutions 
• 3+ years of hands-on experience with modern JS frameworks, preferably React? 
• 2+ years of 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 
• Familiar 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 

• Developing business requirements: Work with end-users and organizational stakeholders to develop business requirements for BI solutions. This includes understanding business needs, identifying data sources, and developing data models that meet business requirements. Work closely with the organization’s data analytics and reporting to empower teams and influence business decisions.
• Work in data sources: Identify, evaluate, and document potential data sources in support of project requirements within the assigned departments in the business.
• QA testing dashboards and reports: Help in QA testing dashboards and reports to ensure that they meet business requirements and are free of errors. Ensure data accuracy and create ad hoc reports.
• Experience working with Tableau or other comparative BI tools is required.
• Present data insights that tell the story and provide suggestions for action-planning to the appropriate subject matter experts in a timely manner and participate in brainstorming on approaches or solutions to a business problem.
• Stakeholder communication: Identify and communicate risks and issues in projects/programs initiated by the assigned departments and communicate this information as soon as possible to the relevant leadership. Identify, communicate, and resolve data gaps that impact the fulfillment of the business’s functional requirements promptly.
• Build and operationalize processes that ensure timely data-loading and maintain accuracy and relevance of Use data to guide assigned business departments through all programs and initiatives, enabling continuous improvement in data quality, departmental performance, and overall business performance.

• Bachelor's degree in data science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or related field required. Master’s preferred.
• At least 2 years of experience in business analysis and data/quantitative modeling.
• Experience working with Tableau strongly preferred.
• Proficient in Microsoft Office Suite with expertise in Excel.
• Extremely detailed, organized, and able to work in a fast-paced environment while handling multiple projects.
• Excellent written and verbal communication skills.