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Rogo

Generative AI for financial research automation

Software Engineer: Financial Data

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$250k - $315k /yrIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science or a related field.
  • At least 5 years of professional software engineering experience building complex, data-intensive backend systems.
  • At least 5 years of hands-on experience with Google Cloud Platform or an equivalent cloud stack, building and scaling production-grade services.
  • Deep expertise in Python for backend and application programming interface systems, and proficiency in at least one strongly typed language such as Rust, C++, or Java.
  • Expertise designing large-scale distributed systems, including asynchronous patterns, streaming, queuing, caching strategies, and observability through logging, metrics, and tracing.
  • Strong command of relational databases and Structured Query Language, including schema design, query optimization, and indexing, as well as NoSQL, in-memory databases such as Redis, and columnar stores such as BigQuery, Snowflake, or Redshift.
  • Experience building and operating large-scale streaming and batch data pipelines that integrate heterogeneous financial data sources with high reliability and throughput.
  • At least 3 years of experience managing or working closely with globally distributed engineering teams.
  • Ability to communicate complex technical concepts to technical and non-technical stakeholders and influence engineering direction across teams without direct authority.
  • A track record of shipping high-quality products in unstructured, fast-moving environments with autonomy from conception to deployment.
  • Demonstrated knowledge and interest in corporate finance, capital markets, and financial data, including the standards and workflows expected by investment professionals.

Responsibilities

  • Own critical data infrastructure by turning complex requirements into robust, scalable solutions that reliably ingest, transform, and serve financial datasets from conception through production.
  • Design and build highly scalable, cost-effective data-processing pipelines that handle millions of documents and data points daily with very low latency and high throughput.
  • Build systems that integrate heterogeneous financial datasets from market-data vendors, proprietary sources, and third-party providers into coherent, reliable, queryable platforms for the artificial intelligence layer.
  • Work with the Core AI team to ensure financial data is structured, clean, and served to maximize model and retrieval-system performance and reliability; build pipelines, transformations, and interfaces that also use the platform's AI techniques.
  • Build secure, compliant integrations that protect enterprise customer data and maintain trust, privacy, and reliability from ingestion through serving.
  • Set a strong example through code and technical decisions, and foster a culture of learning, craft, and ownership through day-to-day work.

Desired Qualifications

  • Java is a strong plus.

About the Company

Rogo

Generative AI for financial research automation

Rogo builds a generative AI platform for financial institutions to automate research, workflows, and document creation by coordinating multiple AI models across proprietary and external content. Its model-agnostic orchestration lets users plug in different AI models and data sources to generate insights, reports, and outputs for analysts, traders, and portfolio teams. The platform serves investment banks, private equity, hedge funds, and asset managers, with deployments across 50,000+ professionals in 350+ firms, and it is expanding into wealth management and new regions in EMEA and APAC. Its goal is to help financial institutions scale research and documentation workloads and speed up decision-making by providing a flexible AI backbone that coordinates models, data feeds, and documents, differentiating through cross-model orchestration tailored to finance.

Company size
201-500
Company stage
Late Stage VC
Total funding
$345M
Headquarters
New York City, New York
Founded
2021

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