NLP Speech Analyst at Prodigal (S18)
Lending Intelligence Software
Remote
Full-time
About Prodigal

Prodigal is a pioneer of Consumer Finance Intelligence, a new category of AI software that derives actionable insights from customer and patient interactions. Lenders and healthcare providers rely on Prodigal to boost profits, customer experience, and compliance by optimizing operations and quality assurance in their loan servicing and collection contact centers. 

Prodigal’s global team, whose backgrounds intersect at financial services and data science, is headquartered in Mountain View, California. Backed by technical and industry experts, Prodigal’s mission is to build the intelligence layer that powers Consumer Finance, becoming the next iconic vertical SaaS company. Nearly one in five U.S. borrowers have already engaged with Prodigal over more than 200 million interactions.

About the role

About Prodigal

We are a fast-growing Bay Area-based startup backed by leading investors like Accel , Y-Combinator & Menlo Ventures. In the past year we grew revenue nearly 10x and continue to build rapidly.

Our core product offering helps automate lending operations for financial services firms across the lending value chain. The Prodigal team has deep technical talent today and we believe there is an opportunity to build an iconic vertical software business that will fundamentally impact how the multi-trillion-dollar debt industry is managed. Debt has such a massive impact on consumers and prior to Prodigal, the industry was saddled with painful, low value manual workflows, and poor customer experience. Our mission is to humanize the debt repayment process through automation and data.

What will you be doing?

  • As an NLP analyst on our growing AI/ML team, you will be building the critical NLP components used in Prodigal's Conversational Intelligence products.
  • You will thoroughly understand the business requirement and provide high-quality output (which would be the raw data with multiple tags) to other teams
  • You will develop advanced and complex regexes and NLP models to enhance our speech recognition models and abilities
  • You will need to come up up with the best practices to ensure error-free data tagging and annotation
  • You will need to minimize manual tagging and use code-based tagging as much
  • You will spearhead the evaluation and improvement of your regexes, algorithms and models
  • You will need to utilize customer feedback to improve your algorithms and models
  • You will standards for the analysis of customer-focused problems in an industrial setting

What are we looking for in you?

  • 1-2 years of data manipulation using Regular Expressions (Regex) is preferred
  • 1 year of hands-on experience in a scripting language like Python is a must
  • Experience with code versioning tools (GIT) is preferred
  • Ensure deliverables across teams are of high quality and clearly documented
  • Bachelor's degree or equivalent, in a quantitative field (computer science, mathematics, natural language processing, artificial intelligence, or similar)

From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.

Technology

Techstack: ReactJS, CSS, Javascript, Python, MongoDB

Interesting problems we're solving

  • Creating an intuitive UI for a speech analytics product. Traditional speech analytics products have very poor usability and are hard to implement for a business.
  • Return search results on the call corpus for queries such as "Which calls had a payment dispute?"

Other jobs at Prodigal

fulltimeUnited States / Remote3+ years
fulltimeMumbaiFull Stack1+ years
fulltimeMUMBAI / RemoteBackend3+ years
fulltimeRemoteMachine Learning3+ years

Hundreds of YC startups are hiring on Work at a Startup.

Sign up to see more ›