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Remote Junior Quant Trader Jobs in Baton Rouge, LA

Databricks

Specialist Solutions Architect - AI/ML

Central, LA · On-site +1

$58.25 - $76.75/hr

This position can be remote. The Impact You Will Have * Own the end-to-end AI/ML technical strategy ... Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or ...

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Remote Junior Quant Trader information

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$7

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$45

How much do remote junior quant trader jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote junior quant trader in Baton Rouge, LA is $25.88, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $31.88 per hour, depending on experience, location, and employer.

What is a remote junior quant trader?

A Remote Junior Quant Trader is an entry-level quantitative analyst who works from a remote location to develop, test, and implement trading strategies using mathematical models and statistical techniques. They analyze large sets of financial data to identify trading opportunities, manage risk, and optimize profitability. Typically, they work as part of a team under the guidance of senior traders and may use programming languages such as Python or R to build their models. This role is ideal for individuals with strong analytical skills and an interest in financial markets, offering flexibility to work from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote junior quant trader?

To thrive as a Remote Junior Quant Trader, you need a strong background in mathematics, statistics, and programming (typically Python or C++), often supported by a degree in a quantitative field. Familiarity with trading platforms, data analysis tools (like MATLAB or R), and financial market data systems is commonly required. Problem-solving ability, attention to detail, and effective communication are crucial soft skills for this role. These skills ensure accurate strategy development, efficient execution, and productive collaboration, which are vital for success in the fast-paced trading environment.

What are some common challenges faced by remote junior quant traders, and how can they be addressed?

Remote junior quant traders often face challenges such as limited real-time collaboration with senior team members, managing time effectively without in-person supervision, and staying updated with rapidly changing market conditions. To overcome these, it's important to proactively communicate through regular virtual meetings, utilize collaborative tools for code sharing and analysis, and stay disciplined with structured work hours. Additionally, seeking mentorship and participating in team discussions can help bridge the gap and accelerate learning in a remote setting.

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Remote Junior Quant Trader jobs near you

Specialist Solutions Architect - AI/ML

Databricks

Central, LA • On-site, Remote

$58.25 - $76.75/hr

Full-time

Posted 9 days ago

Job description

FEQ427R382

As an AI/ML Specialist Solutions Architect (SSA), you will lead the advanced AI/ML technical strategy for your customers - owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are further developing a technical specialization and are recognized within the Field Engineering team for depth in the specific domain.
This position can be remote. 

The Impact You Will Have

  • Own the end-to-end AI/ML technical strategy for your accounts, from discovery through production deployment and consumption growth
  • Lead complex architecture discussions - designing scalable, production-grade solutions spanning AI/ML, including Retrieval-Augmented Generation (RAG), tool calling, multi-agent orchestration, guardrails, AI evaluation, and observability systems
  • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
  • Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions
  • Develop and declare an emerging technical specialization (archetype) - becoming a go-to resource for your team in that domain
  • Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver comprehensive solutions for complex customer needs
  • Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

  • 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in the following areas:
    • ML Engineering: Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML applications and drift monitoring
    • AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks like LangChain, Hugging Face, or OpenAI APIs
  • Strong coding proficiency in Python and SQL - you must demonstrate live coding, debugging, and solution-building skills
  • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
  • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
  • Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis
  • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
  • Track record of driving platform adoption and consumption growth within accounts
  • Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
  • Willingness to travel up to 30% as needed

Nice to Have

  • Databricks certifications (Data Engineer, ML, Platform)
  • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against
  • Background in a data/AI company or cloud provider
  • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

Apply