Top Remote Entry Level Fintech Jobs

Lead and scale a remote client retention team supporting recently delinquent borrowers. Responsibilities include recruiting, onboarding, scheduling, coaching, call monitoring, performance management, payment-plan setup, compliance, documentation, follow-up, and hardship-option routing. Use call analytics and frontline insights to improve scripts, outreach timing, contact strategies, and resolution offers. The role focuses on empathetic client support, cure rates, and kept-promise metrics rather than traditional collections.

Design and build core systems for AAA action or online games, including progression, equipment, skills, economy, rewards, balancing, and system integration. Develop intuitive UX/UI specifications, create detailed documentation, collaborate with programmers, artists, and QA, and design playtests to improve gameplay based on results. The role requires game-system design experience, numerical balancing skills, cross-functional communication, game development fundamentals, and preferably Unreal Engine and data analytics experience.

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.

Build and deploy production GenAI solutions on Google Cloud, including agentic assistants, RAG pipelines, model integrations, API tools, and multi-agent systems. Evaluate and tune models, develop LLM testing and regression harnesses, ensure solution quality, and convert client-specific implementations into reusable assets. Collaborate with data engineering, AgentOps, forward-deployed engineering, and engagement teams to deliver secure, reliable solutions for higher education and SLED clients.

Deploys and operates AI-powered customer solutions, owning integrations, authentication, secrets, hosting, monitoring, and releases. Builds reusable tooling and platform components, develops customer-facing AI applications and workflows, leads technical discovery, translates business needs into deployable designs, and partners with Product, R&D, and Customer Success. Requires strong customer communication, software delivery ownership, cloud and DevOps expertise, product thinking, and experience with Python or TypeScript, SQL, REST APIs, and LLM-based systems.

Own the full sales cycle for AdClear’s US market, from prospecting and pipeline generation through closing complex enterprise B2B SaaS deals. Grow existing Fortune 500 accounts, run QBRs, identify expansion opportunities, navigate compliance, legal, and marketing stakeholders, maintain accurate forecasts, and build a repeatable US sales playbook for future hires.

Own and improve BILL’s Adaptive Planning system, including models, workflows, and integrations with NetSuite and Workday HCM. Lead corporate FP&A activities such as planning, forecasting, variance analysis, executive reporting, and financial forecast consolidation. Partner with Accounting and business leaders, deliver strategic financial insights, perform ad hoc analysis, and apply AI and automation tools to improve FP&A efficiency.

Drive new enterprise revenue across the travel sector, including airlines, OTAs, hospitality groups, and travel marketplaces. Own the full consultative sales cycle, develop executive-level relationships, manage pipelines and forecasts, achieve quotas, and expand existing accounts. Position DEUNA’s payments platform around payment orchestration, cross-border processing, fraud reduction, approval-rate optimization, alternative payment methods, and checkout conversion. Collaborate with marketing, product, solutions engineering, and customer success to close and onboard strategic clients.

Designs and operates production data infrastructure, ETL/ELT pipelines, APIs, containerized AWS services, and graph-based systems. Responsibilities include relational, document, and graph database architecture; data quality and lineage; CI/CD automation; and integration of blockchain, financial, and investigative data. Partners with R&D, data scientists, and investigations teams to deliver production software for federal and commercial clients.

Lead and mentor data engineering and DBA teams while driving GCP-based streaming and batch data platform initiatives. Oversee BigQuery, dbt, Apache Flink or Dataflow, data quality, testing, observability, governance, reliability, and cloud cost optimization. Remain hands-on with coding, code reviews, architecture, and complex system problems while aligning data infrastructure with business and product goals. Champion AI-assisted engineering and automation across the platform.