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A market leader in credit intelligence, Reorg brings together journalists, financial analysts, legal analysts, technologists, and data scientists to collect and synthesize highly complex information into actionable intelligence. Since 2013, tens of thousands of professionals across hedge funds, investment banks, management consulting, and law firm verticals have come to rely on Reorg to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: www.reorg.com

Working at Reorg

Consistent with our growth, Reorg hires innovators and trailblazers across the globe to drive our business and our incredible corporate culture alike. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Reorg employees enjoy competitive health benefits, matched 401k and pension plans, Paid time off, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices, and much more. 

The Role

Reorg is seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will work on complex problems at the intersection of finance and technology, collaborating with the senior data engineer, data scientists, product and software developers to contribute to Reorg's data pipeline development efforts. As an integral part of the Data Science team, you will assist data scientists with data acquisition, organization, and effectively utilizing the results they generate. You will play an essential role in proposing, building, and executing various data pipelines that leverage existing data to enhance Reorg's cutting-edge financial intelligence platform.

Responsibilities

• Design, build, and maintain data pipelines and ETL processes that will support data acquisition, processing, and storage
• Develop and maintain data models and schema design for efficient data retrieval and storage
• Collaborate with data scientists, software developers, and product owners to identify and implement data-driven solutions that will enhance our financial intelligence platform
• Work with software developers to integrate data science models into our products and services
• Continuously improve our data processing and storage infrastructure to ensure scalability, reliability, and security
• Keep up-to-date with new developments in big data technologies and evaluate their potential for improving our data engineering processes
• Participate in code reviews and ensure adherence to best practices

• Working with structured and unstructured data (HTML, JSON, PDF, XML)
• Converting unstructured data into structured format for ML purposes
• Data processes such as ETL, wrangling, and cleansing using logic and regular expressions
• Webscraping using tools like Selenium, Beautifulsoup, etc
• Building data pipelines to support LLMs, LLM Framework (LangChain), Embeddings, Vector Database experience is a plus

• Bachelor's degree or higher in Computer Science, Data Science, or a related field
• 2+ years data engineering and ETL experience
• Proven expertise with Python and R
• Experience with Linux and JenkinsFamiliarity with DevOps and agile development methodologies
• Proficiency with SQL and atleast one NoSQL databases, preferably ElasticSearch
• Knowledge of parallel computing, AWS, and REST APIs
• Strong problem-solving and analytical skills, and openness to feedback and inclination towards continuous learning
• Excellent communication and collaboration skills, and team player mindsetProfessional experience working in the finance industry is a plus
• Background in handling information extraction and retrieval tasks from financial industry-related documents is a plus

At Reorg, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $100,000-$130,000. 

The actual compensation will be at Reorg’s sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for an annual discretionary bonus.

Reorg provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Reorg complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

A market leader in credit intelligence, Reorg brings together journalists, financial analysts, legal analysts, technologists, and data scientists to collect and synthesize highly complex information into actionable intelligence. Since 2013, tens of thousands of professionals across hedge funds, investment banks, management consulting, and law firm verticals have come to rely on Reorg to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: www.reorg.com

Working at Reorg

Consistent with our growth, Reorg hires innovators and trailblazers across the globe to drive our business and our incredible corporate culture alike. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Reorg employees enjoy competitive health benefits, matched 401k and pension plans, Paid time off, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices, and much more. 

The Role

As a Senior Data Scientist at Reorg, you will be working on complex problems at the intersection of two dynamic industries - finance and technology. You will work closely with data scientists and data engineers and collaborate with product developers and software developers within the organization to contribute to Reorg's advanced data and product development efforts. You will experience great hands-on learning in a dynamic, fast-paced, and collaborative environment with plenty of opportunities to grow and accelerate your career. You will play a key role in strengthening the technical and scientific foundations of our cutting-edge financial intelligence platform. 

Responsibilities

• Propose, implement, and execute on given frameworks to build data science models to improve current business and create new business avenues.
• Utilize NLP frameworks to effectively parse and process text data from different formats and convert unstructured text data to structured data.  
• Leverage NLP frameworks that provide comprehensive functionality for text analysis. Utilize these frameworks to conduct exploratory data analysis, feature engineering, and gain a deeper understanding of the data to build robust data science models.
• Develop advanced supervised models leveraging NLP, ML, Deep Learning, and LLMs for classification and prediction problems. 
• Build unsupervised models on unstructured text data using LLMs, NLP, and other techniques for Information Extraction, Information Retrieval, and Text Generation tasks.
• Experiment and investigate various data science approaches and techniques to determine the optimal solution to incorporate into the models.
• Overseeing the collection and annotation of datasets for supervised and unsupervised problems, communicating data requirements to support modeling efforts.
• Initiate and maintain ownership and responsibility for both newly developed models as well as assigned existing models and processes to ensure their continuous improvement and success.
• Comprehensively document findings, analysis, and model-development steps, while preserving the documentation and codebase of the models.
• Ensure timely completion of deliverables, maintain clear communication regarding project status, and prioritize tasks effectively.
• Communicate complex technical concepts to a non-technical audience and effectively present insights and results to business stakeholders when required.
• Demonstrate attention to detail and exhibit a strong interest in gaining an understanding of financial concepts.

• Advanced degree (M.S. or Ph.D.) in a quantitative field.
• At least 3+ years of professional experience as a data scientist with experience in leading and managing data science projects.
• Proficiency/strong programming skills in R and Python with proven experience and a strong background in implementing supervised ML techniques and unsupervised modeling techniques in the area of NLP.
• Hands-on experience working with LLMs (Large Language Models) including prompt engineering which involves designing and optimizing prompts to generate high-quality output from LLMs. 
• In-depth understanding and experience in building and utilizing transformer models such as BERT, GPT, etc., and neural network architectures such as LSTM.
• Experience working with deep learning frameworks (such as Keras / TensorFlow / Deepnet / PyTorch/ Huggingface Transformers etc) with a proven track record of training and deploying models using these frameworks.
• Proficiency in working with unstructured text data and performing information extraction and information retrieval tasks.
• The ability to carry out robust statistical and exploratory data analysis to gain insights from the data.
• Familiarity with SQL, and NoSQL databases.
• Ability to interpret and implement research ideas and algorithms, while actively participating in the research and development initiatives of the data science team. Be familiar with the latest techniques and frameworks in the field of NLP.
• Effective communication skills and team player mentality.\
• Strong problem-solving skills, an inclination towards continuous learning, openness to feedback and the ability to make necessary adjustments, a solutions-oriented mindset, and a clear sense of accountability and project ownership are necessary qualifications for this role.

• Professional experience working in the finance industry. 
• Background in handling information extraction and retrieval tasks (IE/IR) specifically from financial industry-related documents like SEC Filings, Transcripts, Press Releases, etc. that come in various formats like XML, PDFs, etc.

At Reorg, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $130,000-$150,000. 

The actual compensation will be at Reorg’s sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for an annual discretionary bonus.

Reorg provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Reorg complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

A market leader in credit intelligence, Reorg brings together journalists, financial analysts, legal analysts, technologists, and data scientists to collect and synthesize highly complex information into actionable intelligence. Since 2013, tens of thousands of professionals across hedge funds, investment banks, management consulting, and law firm verticals have come to rely on Reorg to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: www.reorg.com

Working at Reorg

Consistent with our growth, Reorg hires innovators and trailblazers across the globe to drive our business and our incredible corporate culture alike. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Reorg employees enjoy competitive health benefits, matched 401k and pension plans, Paid time off, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices, and much more. 

The Role

At Reorg, we are seeking candidates to handle product managers, analyze the market and competitive conditions, and provide strategic guidance for product management. The individual for this role will provide tactical and strategic guidance required by the business. This individual will also offer tactical and strategic support vital for meeting the organization's needs.

Essential Job Functions

• Identifying areas where Gen AI could be applied to solve problems: Working with business and product teams to determine high-impact opportunities to implement AI technology. Analyzing business processes and data to uncover predictive modeling, automation, optimization, and personalization use cases.
• Developing AI product concepts: Collaborating with stakeholders to envision and design innovative AI-powered products, services, and features that meet customer needs and business goals. Defining the data, models, and architecture required.
• Testing and evaluating AI products: Conducting experiments to measure the performance, usability, and impact of AI products over time. Analyzing results and user feedback to make improvements to data, models, and product designs in an iterative fashion.
• Deploying AI in production environments: Implementing AI models and applications in live production systems where they can operate at scale with minimal manual intervention.
• Managing AI projects: Planning, prioritizing, budgeting, and leading AI research and product development projects. Recruiting and leading cross-functional teams of data scientists, engineers, and product managers. Providing progress updates and roadmaps to executives and stakeholders.
• Staying up to date with changes: Continuously learning about advancements in AI, ML/NLP/LLM tools and technologies as well as new product designs, methodologies, and industry use cases. Adapting knowledge and skills to keep AI projects innovative.
• Promoting AI product adoption: Creating materials to educate internal and external users on how AI products and features can be accessed and applied to derive value. Championing AI products across the organization to drive engagement, feedback and improvement opportunities.
• Ensuring responsible AI development: Building fairness, transparency, privacy, and security into AI product design. Developing processes to identify and mitigate risks from AI like bias, job disruption, and data misuse. Complying with laws and ethics around AI and data use.

• Bachelor’s Degree and additional certificates such as PMP
• Master’s strongly preferred
• Proven experience in product management, research, or a related role, preferably within the data science or AI industry.

• 5 years

Reorg provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Reorg complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.