FinTech NLP Engineer — LLMs, AML & Trading Signals

Mount Olive College; Lisboa; Híbrido; EUR 70 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

24 days annual leave

Dedicated learning budget

Home office stipend

Offices in Lisbon; remote-friendly for

Rapid career growth toward leadership

Resumo da oferta

UMO is a stealth-mode FinTech venture building a unified, AI-powered money platform across fiat, crypto, and investments. You will design and deploy NLP models for sentiment analysis, undertake NER on financial data, and create automated document pipelines to support research and trading signals.

You will work with a multidisciplinary team in a hybrid setup, leveraging cloud deployments, Docker, and Kubernetes to deliver production-ready features while maintaining strong documentation and

Qualificações

• BA, Master’s or PhD in Computer Science, Data Science, or a related field with a focus on NLP or DL.
• Advanced proficiency in Python and DL frameworks (PyTorch or TensorFlow).
• Experience with Transformers (BERT, RoBERTa), LLMs, and vector databases (Pinecone, Milvus, Weaviate).
• Strong experience building data pipelines with Spark, Kafka, Airflow; SQL proficiency.
• Familiarity with financial terminology and handling domain-specific data challenges.
• Experience deploying models in cloud environments (AWS, GCP, Azure) using Docker and Kubernetes.
• Ability to design robust NLP evaluation frameworks and a rapid prototyping mindset.
• Fluent in English with strong documentation and cross-team coordination.

Responsabilidades

• Financial Sentiment Analysis: develop NLP models to gauge market sentiment from news, social content, and crypto assets.
• NER: build systems to identify entities like tickers and wallet addresses from documents and logs.
• Automated Document Processing: create pipelines to parse financial statements and filings.
• Fraud & Anomaly Detection: apply NLP to detect AML or fraudulent activity.
• Intelligent Customer Support: fine-tune LLMs for portfolio and trading rule queries.
• Search & Discovery: enhance semantic search for financial instruments and history.
• Model Lifecycle Management: manage MLOps from data labeling to deployment and drift monitoring.

Conhecimentos

Python

PyTorch

TensorFlow

SQL

English

Cloud (AWS/GCP/Azure)

Docker

Kubernetes

Spark

Kafka

Airflow

LLMs

Transformers

Vector databases (Pinecone/Milvus/Weav

Formação académica

Bachelor's degree

Master’s degree

PhD

Ferramentas

Pinecone

Milvus

Weaviate

BERT

RoBERTa

LLMs

Descrição da oferta de emprego

UMO is a stealth-mode FinTech venture building a unified, AI-powered money platform across fiat, crypto, and investments. You will design and deploy NLP models for sentiment analysis, undertake NER on financial data, and create automated document pipelines to support research and trading signals.

You will work with a multidisciplinary team in a hybrid setup, leveraging cloud deployments, Docker, and Kubernetes to deliver production-ready features while maintaining strong documentation and