Mitek

• Design, develop, deploy, and maintain production-ready, scalable API services • Build platform solutions using microservices and containerized architectures • Write and maintain unit, integration, and performance tests • Develop and maintain internal and public API documentation • Collaborate with engineering, product, and operations teams across the full development lifecycle • Participate in Agile/Scrum ceremonies (stand-ups, planning, refinement, retrospectives) • Support deployment, monitoring, and operational readiness of services in production

Title: Sr. Financial Analyst - Remote Location: United States Type: Full Time Workplace: remote Category: 98 - Financial Planning & Analysis We’re looking for someone strong in fundamentals (modeling, forecasting, reporting) who wants to apply those skills as a true finance business partner: supporting budgets, headcount, vendor spend, strategic analysis, and investment decisions. As a capital allocator, you’ll help deploy resources where they create the most value, and you’ll see your impact directly in the decisions we make and the results we deliver. You’ll get high exposure, partnering directly with executives and business leaders, and you’ll report to and learn from the SVP of Finance & Investor Relations, whose background spans hedge fund investing, investment banking, strategic finance, and FP&A. You’ll work alongside a team that steps in for each other, shares credit, and cares more about getting to the right answer than who got there first. Most importantly, our work supports a real mission; we exist to fight fraud, protecting people and institutions from identity theft, account takeover, and financial crime. The business is growing, because the problem is urgent, and being exacerbated by AI-generated fraud attacks. What You’ll Do (Essential Responsibilities) - Own pieces of long-range planning, the Annual Operating Plan, and reforecasting. Model 'what needs to be true' scenarios, partner with business leads to set realistic but ambitious targets, challenge assumptions, and keep the forecast a live decision-making tool. - Build and maintain driver-based forecasting models tied directly to business drivers. - Work fluently in modern FP&A planning tools to update forecasts, manage budgets, and keep reporting accurate and current. - Build dashboards and management reporting that give leaders self-service visibility into performance, budgets, and KPIs, plus monthly/quarterly outputs that explain what happened, why, and what's next. - Drive performance reviews with business leaders. This is the feedback loop where FP&A shifts from reporting to coaching: review progress, surface issues, adapt plans, and make sure leaders feel supported and resourced to execute. - Turn data into decisions. Identify trends, red flags, and recommend actions that drive revenue and margin. - Support strategic and operating decisions with financial analysis: pricing, unit economics, ROI, and investment trade-offs as the business needs them. - Separate fact from opinion. Push back when people speak with conviction but lack evidence and bring the data to back up your own view. What Sets You Apart - You are an excellent financial modeler. You build models that are fast, flexible and accurate, and you take pride in the craft. - You pressure test assumptions and look for inconsistencies instead of just pulling/trusting numbers. - You simplify complexity, communicate clearly, and stay focused on what moves the needle. - Candor as a default - you challenge directly and constructively, call out mistakes, and don't sit silently in meetings where you have a point of view. - You take ownership - you don’t wait to be asked, and you raise your hand when something doesn't look right. - You’re comfortable in the gray - quick to form a view, clear on the trade-offs, focused on outcomes. - You read corporate dynamics - informal influence matters, you know when to use the weight of leadership, and you don't go alone when a situation calls for backup. - You treat AI as a force multiplier - you've changed how you work because of it, and you're constantly testing where it can take more off your plate. What You Need (Key Requirements) - Bachelor’s degree in; Finance, Accounting, Business, Economics or related field. - 5+ years in FP&A, strategic finance, investment banking, or a closely related analytical role. - Direct FP&A experience at a public SaaS or software company. You understand the metrics, operating cadence, and expectations of a listed technology business. - Direct ownership of meaningful parts of AOP and LRP cycles. You've been through multiple full planning cycles and understand how the pieces fit together. - Comfortable with public-company reporting cycles, earnings prep, and investor-grade analysis. - Experience across core FP&A workflows: budgets, forecasts, headcount models, and variance analysis. - Strong financial modeling skills. You’ve built and owned driver-based, three-statement models that guide real decisions. - Comfortable working with large datasets and translating them into actionable insights. - Able to move between granular analysis and clear executive communication without losing precision at either end. - Thrive working independently and remotely. Highly task-oriented, self-motivated, and outcome-focused. - AI-first mindset. You reach for AI tools (ChatGPT, Claude, Copilot, etc.) as a default, not a novelty. Fluent using them to speed up analysis, drafting, and repetitive tasks, and actively looking for where else they can improve how the work gets done. - Experience with most of the following systems: - FP&A planning tools (Adaptive [Workday] or equivalent) - ERP systems (NetSuite or equivalent) - CRM systems (Salesforce or equivalent) - Data warehouse tools (Snowflake or equivalent) - BI/dashboarding tools (Tableau or equivalent) - HRIS/payroll systems (Dayforce/Ceridian or equivalent) Nice to Have - Experience with implementation and system design of Adaptive (Workday). - Excel fluency beyond the basics - dynamic arrays, Power Query, structured data modeling, complex nested logic, and models that are fast, auditable, and built to be handed off. - Ability to build audit-proof models that are easy to follow, maintain, and scale. - Experience modeling compensation plans, headcount growth, vendor spend, and overhead allocations. - Experience in SaaS metric design and definition (e.g., ARR, CAC, payback, CLTV/LTV, churn) and applying them in decision-making. - Ability to work with complex, imperfect datasets. You know how to validate, refine, and transform them into accurate, actionable insights. - Track record of improving forecasting accuracy, reporting speed, or decision quality through automation or better visualization. - Prior experience partnering with operational teams that own budgets and cost discipline. - Able to work core hours overlapping U.S. Eastern time. - A sense of humor. We take the work seriously, but not ourselves.

• Evolve and improve software for products and services • Work on products and solutions that will help to transform mobile banking and the identity authentication markets

• Drive data infrastructure that enables data-informed decision-making • Partner closely with Product Managers, Data Analysts, Software Engineers, and business stakeholders • Deliver stable, high-quality data pipelines, enterprise reporting, and datasets • Optimize and maintain OLTP databases, ensuring reliability, performance, and production readiness • Audit systems, improve data quality, refactor legacy pipelines, and apply best practices • Build and maintain scalable data systems that power advanced analytics across the business • Design performance testing and release validation frameworks to prevent regressions • Establish strong production processes such as monitoring, alerting, backup and recovery, access controls, and incident response

• Design, build, and deploy production-grade APIs and services within a microservices/serverless architecture. • Own your code from design to deployment, ensuring scalability, security, and performance at every step. • Automate testing and delivery through robust unit, integration, and performance tests for reliability at scale. • Document your work clearly for internal stakeholders and external developers consuming our public APIs. • Collaborate cross-functionally with product managers, researchers, and operations teams to translate ideas into production-ready features. • Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) and help drive continuous improvement. • Develop clean, maintainable, and production hardened code.

• Designs truss components and truss repairs for MiTek customers and creatively solve engineering issues our customers have. • Creatively design field repairs for truss components in accordance with acceptable engineering principles and judgment. • Design truss components based on specified parameters from customers and use their knowledge of engineering and the building codes along with collaboration with other engineers in the office to ensure their designs protect the health safety and welfare of the public. • Discusses design modifications and reviews appropriate design methodologies with customers. • Assist, train and counsel customers in troubleshooting issues and design problems. • Review results of the truss design software for accuracy and collaborate with other engineers and with the software development team to determine how the software should function. • Collaborate with engineers, architects and building officials on customer component design projects.

• Design, develop, test, and release production-ready mobile web SDKs, demo apps and code samples. • Integrate 3rd-party libraries and internal C++ computer vision libraries into the SDKs. • Write and execute automated unit/functional/integration/UI tests to ensure the quality of our products. • Create and maintain internal software documentation and public Developer’s Guide. • Collaborate with other software engineers, researchers, product managers, and cloud/operation engineers to determine requirements and ensure alignments. • Follow Agile/Scrum processes like daily stand-ups, refinements, planning, and retrospectives.

• Design, build, and deploy AI solutions powered by ML, LLMs, and agentic AI systems that address clear business problems. • Define evaluation strategies upfront for each use case, including task success metrics, offline and online evaluation plans, error analysis, and production monitoring requirements. • Build and improve LLM-based systems using prompt engineering, retrieval-augmented generation, and multi-step workflows. • Apply MLOps and LLMOps practices, including experimentation, versioning, observability, alerting, model and prompt evaluation, and continuous improvement in production. • Partner closely with product, engineering, and business stakeholders to prioritize AI use cases and align on success metrics, operational needs, and delivery timelines.

• Lead applied ML initiatives that power the next-generation Identity Verification (IDV) engine • Work across the full lifecycle—from data collection and organization to model design, training, evaluation, deployment, and production monitoring • Deliver accurate, efficient, and resilient models in real-world adversarial environments • Focus on biometric identity verification, face liveness detection, presentation attack detection (PAD), and anti-spoofing technologies • Develop and improve systems designed to detect fraud, replay attacks, deepfakes, and other forms of identity manipulation

• Support the preparation and processing of payroll data in partnership with external payroll vendors • Review payroll inputs and outputs to ensure accuracy and completeness • Assist in validating employee data, including changes, deductions, and statutory requirements • Help resolve payroll-related queries from employees and stakeholders in a timely and professional manner • Support payroll audits and compliance activities, maintaining confidentiality of sensitive information • Work closely with external payroll providers to ensure smooth payroll operations • Monitor vendor performance and flag any discrepancies or issues • Collaborate with People Operations and Finance teams to ensure accurate data flow • Identify opportunities to improve payroll processes and data accuracy • Support documentation of payroll procedures and updates • Assist in implementing improvements to enhance efficiency and employee experience