# Senior Solution Consultant, Fintech

**Company:** [Socure](https://hotfix.jobs/companies/socure)
**Location:** New York, NY
**Role:** Sales Engineering
**Salary:** $160k – $185k/yr
**Experience:** 7+ years
**Skills:** solution consulting, Pre-Sales, Fintech, Payments, kyc, kyb, fraud management, Risk Management, REST APIs, data integration, decision engines, Machine Learning, proof of concept, Data Science, executive presentation
**Posted:** 2026-07-27

> Senior pre-sales technical expert for fintech and payments prospects. Leads discovery, designs identity/fraud workflows, runs POCs/backtests with Data Science, and advises C-level stakeholders on Socure's platform to reduce fraud and improve conversion.

## Job Description

## Job Responsibilities
- Serve as the day-to-day technical expert for fintech and payments opportunities, partnering with Fintech Account Executive Directors as the primary pre-sales Solution Consultant.
- Lead discovery with prospects to understand their business models (e.g., neobanks, BNPL, card issuing, sponsor banks), risk posture, regulatory constraints, and onboarding or transaction flows—then translate these into tailored Socure solution architectures.
- Design end-to-end identity and fraud workflows across Socure’s products including API integration patterns, decisioning logic, rules, and data orchestration.
- Collaborate with Data Science to scope, design, and execute proof-of-concepts (POCs) and backtests for fintech prospects, defining success metrics, evaluation methodology, and governance; interpret results and present clear recommendations.
- Partner with Product and Product Marketing to funnel field insights from fintech deals—including emerging use cases (e.g., instant payouts, embedded finance, KYC/KYB, account takeover)—into roadmap discussions, solution patterns, and external thought leadership.
- Participate in business development activities including building and delivering compelling demos, presenting solution recommendations, contributing to RFPs/RFIs, and helping construct statements of work (SOWs) and pricing scenarios.
- Act as a trusted advisor to senior client stakeholders (CRO, CISO, CTO, Head of Risk/Compliance, Product leaders) by simplifying complex statistical and technical concepts into actionable business decisions.
- Partner with post-sales Solution Consultants, Customer Success, and Technical Project Managers to ensure smooth handoffs from pre- to post-sales.
- Contribute to internal best practices for fintech solution design and actively mentor junior or peer Solution Consultants.
- Stay ahead of fintech and payments industry trends, fraud and identity attack vectors, and evolving regulations.

## Job Requirements
- Bachelor’s degree in business, engineering, math, economics, computer science, or a related field, or equivalent practical experience.
- 7+ years of professional experience, including at least 4+ years in a client-facing technical role such as solution consulting, sales engineering, professional services, or technical pre-sales within enterprise SaaS or data products.
- Meaningful experience in fintech, payments, neobanking, lending, or sponsor banking environments—ideally with exposure to digital onboarding, KYC/KYB, transaction monitoring, or fraud/risk management workflows.
- Demonstrated track record leading complex, multi-stakeholder pre-sales engagements end-to-end: discovery, solution design, demo strategy, POC/backtest design, success metrics definition, and technical close support.
- Strong technical depth across modern SaaS and data architectures, including RESTful APIs, event-driven or batch data integrations, rules/decision engines, analytics, and familiarity with ML/DS-adjacent technologies.
- Ability to synthesize complex statistical and technical information—such as model performance, lift curves, ROC/AUC, threshold optimization, or swap sets—into clear, business-oriented recommendations.
- Experience acting as a bridge between technical and non-technical audiences, with excellent written and verbal communication skills and a strong executive presence.
- Proven collaboration skills across Sales, Data Science, Product, Engineering, and Customer Success.
- Demonstrated commitment to leadership behaviors: continuous learning, effective communication, ownership, mentoring, sound judgment, and adaptability.
- Willingness to travel (up to ~30%).

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