Top Fintech Jobs in Atlanta, GA

Own CX quality, training, and knowledge management systems for a large-scale customer support operation. Lead QA framework design, Zendesk knowledge management, Sierra AI deflection enablement, automated quality scoring, agent training, partner launch readiness, and data-driven continuous improvement. Manage a team of 2–3 associates while partnering with engineering, product, vendors, compliance, legal, and operations teams.

Design, implement, test, and deploy secure Solidity smart contracts across Ethereum and EVM networks. Own smart contract projects, contribute to Aave protocol initiatives and infrastructure, investigate vulnerabilities, troubleshoot production issues, review code, and collaborate on DeFi features including lending, vaults, stablecoins, and protocol integrations.

Build and scale a fintech risk and compliance platform as the second engineer. Responsibilities include developing full-stack features, owning product areas end to end, improving reliability and performance, collaborating with customers, participating in architecture and code reviews, and establishing engineering best practices. The role requires independent feature delivery, strong full-stack fundamentals, production experience, sound technical judgment, clear asynchronous communication, and willingness to learn compliance and AI domains.

Supports the U.S. BSA/AML and sanctions compliance program through transaction monitoring, investigations, SAR drafting, KYC/KYB and CDD/EDD reviews, regulatory filings, policy updates, examinations, and workflow improvements. The role partners with Compliance, Operations, Product, and Commercial teams while monitoring U.S. financial crime and digital-asset risks.

Lead frontend engineering for the DataLab product, developing scalable React and TypeScript interfaces for enterprise financial applications. Guide frontend architecture, component design, accessibility, performance, developer experience, and testing practices. Collaborate with product managers and backend engineers, mentor teammates, make technical decisions, and promote AI-assisted coding tools while maintaining high standards for security, quality, and maintainability.

Build and evaluate software prototypes for a blockchain data acceleration network. Develop full-stack solutions, design benchmarks, measure performance against competitors, gather product feedback, and iterate rapidly. Collaborate with engineering and product leaders to validate user needs, inform the roadmap, and communicate findings. The role involves AI-assisted coding tools and may include systems programming, real-time data, P2P networking, blockchain, and high-performance workloads.

Design, build, and maintain automated and exploratory tests for web and mobile apps. Create test plans, UI/API automation, compatibility and performance testing, perform root-cause analysis, improve test coverage, and develop testing tools and infrastructure to ensure product stability and user-focused quality.

Build and maintain automation-first test coverage for web applications across E2E user flows and REST APIs. Use AI tools such as Claude Code to accelerate test creation, troubleshoot failures, investigate logs, and support root-cause analysis. Collaborate with engineering and product teams on test planning, champion quality and testability, and develop deep product-domain expertise. The role is fully remote with travel required for offsites.

Research, develop, validate, and backtest quantitative trading strategies, indicators, and signals. Analyze market relationships, performance, risk, and statistical robustness while accounting for biases, costs, slippage, and overfitting. Collaborate with product, engineering, data, trading teams, and users to translate quantitative concepts into intuitive no-code trading tools and requirements.

Design and operate production-grade data pipelines, backend services, APIs, and agentic AI workflows. Build scalable systems that ingest, transform, and operationalize data for customer-facing and internal applications. Translate ambiguous operational workflows into reliable architectures, improve service observability and performance, and own technical decisions across data modeling, system design, security, and compliance.