The Opportunity

We're looking for a data-minded, resourceful engineer to join Sovereign, a quantitative trading desk at Nascent. In this role, you'll help us uncover, evaluate, and integrate new data sources to fuel our research and trading strategies. You’ll work in a fast-moving, exploratory environment where no two days are the same: developing pipelines, analyzing diverse datasets, and building scalable workflows that support quantitative discovery at scale.

You’ll thrive here if you’re energized by the unknown, deeply curious about data, and excited to be part of a highly collaborative team that spans trading, engineering, and research. The ideal candidate is self-driven, pragmatic, and sharp at identifying signal in noisy environments. You could be perfect for the role if you love to bring a blend of creative problem-solving and systems thinking, and find satisfaction in transforming raw data into impactful insights.

Key Responsibilities

Proactively identify and evaluate novel data sources that could drive alpha, collaborating with traders and researchers to prioritize exploration based on signal potential
Conduct exploratory analysis on new datasets, rapidly building intuition for structure, anomalies, and usability
Acquire historical datasets and build automated pipelines to ensure freshness, reliability, and scalability over time
Standardize disparate datasets into coherent schemas to support seamless downstream research and modeling
Design and implement custom AI agents and other LLM-based tools to create reusable workflows for dataset evaluation, ingestion, and transformation
Partner cross-functionally with engineers, quants, and business leads to develop a shared understanding of data needs and surface high-impact opportunities
Develop strong intuitions around the structure and quality of datasets, quickly identifying gaps, inconsistencies, or anomalies that impact downstream use.
Proactively surface opportunities where data can unlock insights, drive decision-making, or create edge—turning ambiguous business problems into actionable data work.

About You

You thrive in ambiguity and less-structured environments and feel comfortable building structure and executing your own plans.
You get energy from both starting new projects and optimizing/maintaining what you’ve built as well as working closely with interdisciplinary teams.
You’re naturally curious and can independently deep-dive into unfamiliar tools or topics.

Preferred Experience

Strong track record working with analytical environments like Pandas, Polars, R, Matlab, or Julia, with the ability to move quickly from prototype to production
Proficient in Python and SQL, with experience building tools that streamline data access and exploration
Comfortable using AI coding assistants and LLMs (e.g. Copilot, ChatGPT) to accelerate analysis and automation
Experience working with time series data and an intuitive grasp of its quirks, challenges, and patterns
Exposure to complex systems such as rules engines, risk infrastructure, or search platforms, and a pragmatic mindset for building in those environments
Familiarity with tools like Docker, Linux CLI, or observability workflows (e.g. logs, memory profiling)
Background in a quantitative or data-rich domain such as crypto, finance, AdTech, or gaming
Bonus points for shipping a product or side project, contributing to open source, or building internal tools with tangible impact

Data Engineer - Quantitative Data Acquisition

Anywhere in the world

Remote

Senior

Nascent