Jobs at One Park Financial

Provides on-site Level 1 IT support for Windows devices, Microsoft 365, peripherals, connectivity, VoIP, user accounts, and workplace technology. Manages tickets, troubleshooting, hardware installations, inventory, onboarding and offboarding. Executes recurring IT, security, audit, and validation checklists, documents results, escalates incidents, supports infrastructure activities, and maintains procedures and knowledge-base content. Collaborates with local and remote technology teams while delivering professional bilingual support in Spanish and English.

Provides on-site Level 1 IT support for Windows devices, Microsoft 365, user accounts, peripherals, connectivity, VoIP, and workplace technology. Manages tickets, installations, equipment inventory, onboarding and offboarding, and escalations. Executes recurring IT, operational, audit, and security checklists, documenting results and exceptions. Collaborates with remote technology teams, supports maintenance and deployments, maintains knowledge-base content, and recommends process improvements.

Own and evolve a production Python pricing and decision engine on AWS. Lead engineers, establish technical standards, implement scoring models, maintain pricing rules, and ensure data correctness, reliability, observability, and auditability. Design experimentation and A/B tests, integrate CRM and external data providers, and collaborate across Product, DevOps, Data Engineering, Data Science, and QA. The role expands into machine-learning model deployment, analytics applications, data products, and analytics platform infrastructure.

Own and evolve a production Python pricing and decision engine on AWS. Implement scoring models, pricing rules, APIs, data quality controls, experimentation, integrations, observability, and deployment workflows. Lead and mentor supporting engineers while coordinating with Product, DevOps, Data Engineering, Data Science, and QA. Over time, build analytics applications, data products, ML integrations, and the broader analytics platform.

Own and evolve a production Python pricing and decision engine on AWS. Lead supporting engineers, establish technical standards, implement scoring models and pricing rules, ensure data correctness, design experimentation, maintain integrations and observability, and coordinate with Product, DevOps, Data Engineering, Data Science, and QA. The role expands into machine-learning model deployment, analytics applications, data products, and analytics platform ownership.

Design, build, and optimize secure Amazon Connect contact-center solutions on AWS. Responsibilities include configuring routing, IVR, chatbots, AI self-service, outbound campaigns, Contact Lens analytics, CRM and AWS integrations, infrastructure automation, CI/CD, monitoring, security, compliance, documentation, and tier-3 support. The engineer will also perform root-cause analysis, optimize contact-center KPIs, and help develop technical roadmaps.

Leads and scales the sales organization by building high-performing teams, coaching sales leaders, designing revenue-growth strategies, and managing pipelines, CRM hygiene, metrics, and performance systems. Partners with executives and cross-functional teams to improve lead flow and sales-funnel efficiency, supports complex negotiations, and maintains a high-performance culture. The role is based in Santo Domingo and requires bilingual English-Spanish communication.

Monitor 300 CCTV cameras across six global sites, detect and log security or policy violations, prioritize potential data exfiltration, escalate incidents per protocol, and maintain accurate shift logs. Role requires sustained attention and adherence to escalation procedures under Senior Monitor and Security Director guidance.

Lead real-time CCTV surveillance across 300 cameras at six global sites, detect and escalate suspected information exfiltration and security incidents, audit equipment performance, document incidents, execute escalation protocols to the Security Director, and mentor a junior monitor. Work 12-hour shifts with periodic weekend overtime.

Leads and develops a team of collections and recovery agents, monitors call activity, recovery rates, and KPIs, provides coaching and training, ensures compliance, analyzes performance trends, implements improvement plans, handles escalated customer cases, and maintains team accountability and engagement.

Leads and develops a sales team in Santo Domingo by providing coaching, monitoring calls, managing pipelines, analyzing performance metrics, conducting reviews, implementing improvement plans, maintaining CRM accuracy, and driving revenue targets. The role partners with sales leadership and training to improve representative skills, accountability, and closing performance.

Sell financing solutions to small businesses via inbound and outbound calls, texts, and emails. Build and maintain relationships, manage a sales pipeline, qualify leads, and close deals. Meet targets while providing excellent communication in both Spanish and English.

The Sales Operations Supervisor will lead the inside sales team, manage daily call center operations, and ensure performance targets are met while developing team members.

Lead end-to-end development, deployment, monitoring, and governance of production risk-based pricing and credit models. Perform EDA, feature engineering, model validation, A/B testing, and partner with DevOps/Product/Engineering to ship ML services and maintain model lifecycle, using modern AI/LLM tooling to accelerate work.

Provide partner-facing support for external funding partners by monitoring account reports, following up on applications and contracts, verifying paperwork, fielding support communications, and assisting the Pipeline Manager and external lenders to drive sales team productivity.

Lead, coach, and develop a sales team in Santo Domingo to drive revenue. Analyze performance metrics, manage pipeline, conduct call coaching and takeovers, run huddles and reviews, implement PIPs, ensure CRM hygiene, and align team targets with company goals to foster continuous improvement and high performance.

The VP of Credit & Business Intelligence will oversee credit policy and analytics for SMB financing, focusing on AI/ML model implementation, risk management, and team leadership in analytics strategy.

Use AI-powered monitoring tools to audit and review customer-facing phone, text, and email interactions for regulatory and internal-policy compliance. Score and document QA findings, generate reports, identify trends, provide coaching feedback, and support QA supervisor with calibration, scorecard updates, and cross-departmental compliance requests.

Analyze business financing applications, review credit card processing statements and credit reports, assess deal risk, process at least 10 deals daily ($100k+), start collections on defaults, and maintain loss rate under 5%.

Conduct QA reviews of calls, texts, and emails using AI monitoring tools to identify compliance risks, score interactions, document findings, generate reports, and coach agents to ensure adherence to regulatory and internal quality standards.