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NLP Model Developer (Finance)

About this Job

An innovative and growing FinTech company based in New York City and Tel Aviv is looking to fill an immediate need for a new Financial Data Analyst to their New York City* team.

In this role you will be responsible for training our Natural Language Processing (NLP) engine by performing financial data analysis on dynamic, real-world events. As part of the Text.Ai team, you will work closely with and learn from model developers to design the next generation NLP models.

This position is a unique opportunity to join a dynamic, high-performance, and data-driven culture. The team includes highly collaborative leaders from the technology and financial industries. There is great potential for the right candidate to grow into a larger role internally.

(*The team is currently working under a Remote First policy, with intentions to return to the office in 2021. Our team is currently spread throughout the continental US working remotely.)

About Text.Ai

The Text.Ai team is responsible for all NLP model development using Amenity’s development software. The team is a diverse group of individuals, stemming from backgrounds in finance, data science, engineering, and more. We pride ourselves in our culture of:

·   Accessibility and approachability
·   Leading by example
·   Encouraging and leading innovation


About Amenity Analytics

The Amenity Analytics Business Intelligence and Investment Platform creates and validates nuanced strategies by synthesizing data extracted using Amenity Analytics’ proprietary Text Mining Engine with fundamental, technical, and event data, resulting in actionable and justified business decisions.

  • Work with a team of model developers to create and enhance qualitative models using Natural Language Processing (NLP).
  • Utilize proprietary, statistical-based NLP software to mine unstructured data, and identify insights.
  • Construct and calibrate elaborate NLP models to create custom solutions on financial text (Earnings Call transcripts, SEC filing, Broker Research, and News) for clients in the financial sector. 
  • Drive our end-to-end solutions process: initial ideation/discovery, model development, feedback loop, model development iterations, deployment, and model maintenance. 
  • Develop systems to monitor the analytical quality of production models to discover anomalies, from investigation to resolution. 
  • Monitor and improve model performance by assisting in the quality assurance process. 
  • Apply modelling techniques to produce insights/signals and package them in a client-consumable output. 
  • Collaborate with Product and Strategy teams to understand business requirements and their context, translating them into a technical plan of action. 
  • Work with Senior Management to plan product roadmaps, recommend new products or enhancements, as well as estimate and prioritize work. 
  • Create technical documentation for both internal and external technical audiences, as well as contribute to client-facing content for non-technical audiences. 
  • Assist in the Proof of Concept (POC) and Sales process as required. 
  • Assist the team in general activities to support the overall performance of the company.

  • Bachelor’s degree in Finance
  • Graduate degree in a similar discipline is a plus but not required.
  • 2+ years minimum experience in Asset Management, Investment Banking or Financial Services relating to Capital Markets.
  • 1+ years coding experience 
  • Deep understanding of the Financial Services industry is required

  • Excellent English verbal and written communication skills
  • Passion for solving problems with data
  • High velocity of idea generation
  • Committed to continuous improvement, with a passion for building processes/tools to make everyone more efficient
  • Proud generalist, excited by the opportunity to grow analytical and technical skills, and unafraid of ambiguity
  • Works well with others
  • High level of motivation and intellectual curiosity.
  • Excellent verbal and written communication skills; ability to convey complex concepts effectively
  • Ability to work independently and as part of a team
  • Flexibility and willingness to adapt to the changing demands of a fast-paced environment