Data Scientist / Machine Learning

NLP PEOPLE; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

A leading company in Financial Services is urgently seeking a data scientist to build a core team for its Enterprise Risk Management initiatives. Candidates should have experience with risk modeling, NLU/NLP, and strong hands-on skills in Python, along with a proven ability to work with Quants and engineering teams on cutting-edge risk and fraud prediction models.

Qualifications

• Self-starters and individual contributors with consultative and technology acumen.
• Experience in risk modeling and handling unstructured data.
• Hands-on skills in Python and knowledge of NLTK libraries.

Responsibilities

• Build a core team for Enterprise Risk Management in Financial Services.
• Work with Quants and engineering teams to refine risk and fraud predictions.
• Ideate and isolate signals from varied data structures.

Skills

Risk modeling

NLU

NLP

Python

R

Anomaly detection

Neural Nets

Deep learning

TensorFlow

Job description

trying to build a core team of a handful of “data scientist” for an Enterprise Risk Management team in the business side of a Financial Services Institution.The goal is for this team to work with Quants, engineering folks and business to ideate and isolate signals from unstructured data, alternate data, multi-structured data, etc to better refine risk and fraud predictors.

It’s an urgent need, and it would help if you already have someone suitable in your deep network.

Company:

Yoh, A Day & Zimmermann Company

Qualifications:

Self-starters, been-there-done-that, individual-contributors, consultative and deep technology acumen. Some of the other areas that would be key for this role are:

– Good knowledge/experience in the Risk modeling, especially commercial risk

– NLU / NLP

– Good hands-on skills on Python, with good knowledge of NLTK libraries

– R

– Anomaly detection

– Neural Nets, deep learning algos, tensor-flow(TF)

Tagged as: Industry, Machine Learning, United States