NLP Engineer, Chronograph
$105-125k
Portfolio monitoring solutions for private equity
Job no longer available
Portfolio monitoring solutions for private equity
101-200 employees
Job no longer available
$105-125k
101-200 employees
Company mission
To expand access to private equity asset class by empowering investors with superior private information.
Role
Who you are
- MS in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Engineering, Information Science, etc. Alternatively, two years of Masters-level equivalent work experience plus a BA or BS in a quantitative field
- 3 years proven experience with Python, specifically Pandas/NumPy/SciPy/Scikit-learn
- Experience with AWS SageMaker, AWS Lambda, MLFlow, Airflow, SQL, Docker
- Two years or more of experience working with TensorFlow/PyTorch and pre-trained language models (BERT, RoBERTa, ELMo, etc.)
- Good interpersonal, communication, and presentation skills
What the job involves
- We are seeking a highly motivated NLP Data Scientist with Software Engineering capability to join our Machine Learning team to help design and develop our NLP pipelines
- You will work closely with internal stakeholder teams of product owners and private equity analysts, with a focus on model engineering, continuous model improvements, ML pipeline deployments, and human in the loop capabilities. This position will report to the Machine Learning Lead, with engagement across the organization
- Evaluate & Experiment with classical ML models in an NLP context (Logistic Regression, random forests, ensembles, etc.), as well as Deep Learning based models like Transformers and Large Language Models
- Research Scientific Papers to find better or novel approaches and algorithms to improve model performance
- Set up pipelines for model evaluation / comparison in order to progress Machine Learning capabilities at Chronograph
- Work on improving models using unlabeled data through cutting edge algorithms eg. self-supervised learning, semi-supervised learning, active learning, or weak supervision with specific focus on NLP and Information Extraction
- Work with devOps, design, and full-stack teams to deploy models to production and integrate ML features
Our take
The private equity market is changing rapidly, and the need for high-tech data solutions is rising. Chronograph solves this problem by building and delivering next generation tech for private equity firms.
Chronograph's technology is geared towards portfolio monitoring, and is marketed primarily towards institutional private equity and venture capital investors. Chronograph's software automates labour-intensive processes such as data collection and analysis, reducing risk and saving firms valuable time and effort.
Many software solutions for private equity are limited by a lack of integration capabilities. Chronograph has set itself apart by partnering with LemonEdge, which has streamlined its integrations considerably and was awarded substantial funding in 2022 from the likes of Summit Partners and NASDAQ Ventures. This is a strong indicator of the company's potential and scalability.
Steph
Company Specialist at Welcome to the Jungle
Insights
55% employee growth in 12 months
Company
Funding (1 round)
Oct 2022
$20m
LATE VC
Total funding: $20m
Company benefits
- Hybrid Team: Choose your time in-office Fully remote options, ‘study Abroad’ program
- Vacation & Time Off: Unlimited vacation, paid holidays & sick days, 'do not disturb' time
- Health & Wellness: Top-notch Health, Dental, & Vision, on-site gym & bikeroom, focus on mental health
- Company Culture: Open communication, open office floor plan, quarterly 'Team Weeks'
- Professional Development: Customized development racks, accelerated promotion, promoted from within, cross-functional training
- Perks & Events: Regular social events, stocked kitchen & goodies, causal dress
- Child Care & Parental Leave: Flexible work schedule, generous parental leave
- Competitive Pay: Substantial annual raises, equity participation, company 301(k) plans (US), workplace Pension (UK)
Company HQ
Williamsburg, NY
Leadership
Charlie Tafoya
(Co-Founder & CEO)Charlie previously co-founded KnowledgePort Solutions and worked in Investment Banking at Bank of America Merrill Lynch. He then joined Pantheon Ventures' Private Equity team where he worked for 3 years before co-founding Chronograph in 2016.
Michael Bridge
(Co-Founder & President)Michael began his career as a Consultant at Oliver Wyman before becoming a Principal at Lee Equity Partners, a role he held for 8 years before co-founding Chronograph in 2016.
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