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Patrick Javier

4.78 from 110 reviews

Jobs

Client Delivery Specialist - Associate / AVP - Full Time - Hybrid

Stamford, Connecticut, United States
DIRECT HIRE
  • TERMS: direct hire
Client Delivery Specialist - Associate / AVP - Full Time - Hybrid About the Role We’re partnering with our client, a fast-growing fintech firm, on a Client Delivery Specialist to join its Data Solutions Team. This is an individual contributor for either an Associate or AVP level. This role sets up and maintains the financial software applications the firm utilizes, assists clients with issues, works on special projects, and helps with ad-hoc tasks tied to building an innovative company. This position is a mix of finance and technology, ideal for someone who wants to grow their career at the intersection of both. Responsibilities
  • Support financial reporting and data aggregation tools, including analyzing and explaining portfolio performance results
  • Conduct account-level reconciliation, including research and resolution of breaks, cancels, and corrections
  • Perform analysis of private equity and hedge fund statements for input into the system
  • Work with clients and partners to resolve data issues
  • Help manage client onboarding, account setup and training, and day-to-day support and issue management
  • Perform system setup and configuration, new client setup, and new financial account/asset classification
  • Assist with data feed management
  • Create custom reports based on client-specific needs and liaise with vendor partners on enhancements and system/data issues
Qualifications
  • 3–5 years of experience in a related field
  • Bachelor's degree from an undergraduate program
  • Excellent customer service skills and the ability to foster and maintain effective relationships
  • Strong understanding of financial instruments
  • Experience with RIA/wealth management policies, procedures, and client service
  • Experience working with wirehouses or custodians
  • Organized and self-motivated, with the ability to prioritize tasks and meet deadlines
  • Experience with Addepar, Black Diamond or similar wealth management platforms
  • Strong MS Excel and PowerPoint skills; basic knowledge of database concepts and programming
  • Understanding of performance reporting calculations and methodologies, portfolio management and rebalancing, and how family offices, RIAs, and investment advisors operate
  • Strong critical thinking and problem-solving skills, with the ability to summarize information clearly and concisely, written and verbal
  • Quick learner, able to adapt to an expanding environment
Compensation & Benefits This role offers a competitive compensation package including base salary, equity for all full-time employees, and an annual performance bonus. Benefits include an employer-matched retirement plan, generously subsidized healthcare with 100% employer-paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). Employees in this role work in the office Monday–Thursday, with the flexibility to work remotely on Friday. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/

Senior Network Security Engineer

Monroe , Connecticut, United States
DIRECT HIRE
  • TERMS: direct hire

Employment Type: Full-Time

Location: Monroe, CT Work Arrangement: Hybrid — 3 days onsite / 2 days remote after an initial 3-month period, subject to business needs Compensation: $106,000–$125,000 Base Salary Work Authorization: Candidates must be authorized to work in the U.S. without current or future employment sponsorship. About the Role

Our client is seeking a Senior Network Security Engineer to maintain, secure, and enhance a complex enterprise network infrastructure. This hands-on role will focus on network engineering, firewall and security administration, infrastructure reliability, and the design and implementation of network solutions.

The ideal candidate brings deep networking expertise, strong troubleshooting skills, and experience managing enterprise-scale network security environments. This individual will also contribute to infrastructure projects, technical documentation, and compliance with applicable industry and regulatory standards.

Key Responsibilities Network & Security Engineering
  • Administer, maintain, and enhance network infrastructure, including switches, routers, firewalls, VPNs, and network management systems.

  • Design, implement, and support network and security solutions, including standardized configurations and build templates.

  • Troubleshoot complex network issues, analyze traffic, and resolve performance, connectivity, and security problems.

  • Monitor network performance, resource utilization, licensing, and infrastructure health.

  • Ensure network equipment and configurations meet applicable security and compliance standards.

Architecture & Project Delivery
  • Design, install, and support new network hardware, software, and infrastructure.

  • Lead or coordinate network and security projects, managing scope, schedules, budgets, and resources.

  • Develop and maintain network diagrams, configuration standards, technical documentation, and work instructions.

  • Support infrastructure procurement, licensing, and vendor or contract activities.

  • Perform preventative maintenance and participate in a rotating after-hours support schedule.

Security & Continuous Improvement
  • Apply advanced network engineering and security principles to complex infrastructure challenges.

  • Support firewall management, network access controls, and network security investigations.

  • Use packet captures, protocol analysis, monitoring, and alerting tools to investigate and resolve issues.

  • Identify opportunities to improve network reliability, security, efficiency, and performance.

Required Qualifications
  • 8+ years of experience in network infrastructure engineering, including at least 4 years managing firewalls or network security systems.

  • Strong experience with Cisco routing and switching, enterprise network architecture, and network services.

  • Hands-on firewall configuration, maintenance, and troubleshooting experience.

  • Solid understanding of TCP/IP, DNS, DHCP, VPNs, network protocols, and network monitoring.

  • Experience designing, implementing, troubleshooting, and maintaining complex network environments.

  • Strong analytical, troubleshooting, and problem-solving skills.

  • Ability to manage projects, document technical solutions, and coordinate work across teams.

  • Excellent written, verbal, and interpersonal communication skills.

  • Bachelor’s degree in IT, business, or a related field.

  • Ability to participate in a rotating after-hours support schedule.

Preferred Qualifications
  • Experience with network security investigations and packet capture/protocol analysis.

  • Knowledge of network architecture standards, emerging technologies, and industry-specific regulatory requirements.

  • Experience creating detailed network design diagrams and technical documentation.

  • Cisco CCNA, CCNP, or relevant security certifications.

Why This Role?
  • Take ownership of network engineering and security across a complex enterprise environment.

  • Work on infrastructure design, network security, performance optimization, and technical projects.

  • Apply advanced troubleshooting and engineering skills to meaningful infrastructure challenges.

  • Collaborate with technical teams while contributing to long-term network architecture and security improvements.

  • Competitive $106,000–$131,000 base salary with benefits and a hybrid work arrangement after the initial three months.

    By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/

Principal/Staff Data Scientist, GenAI/LLM Evaluation, Long-Term Contract

Upper Saddle River, New Jersey, United States
CONTRACT
  • TERMS: contract
Principal/Staff Data Scientist, GenAI/LLM Evaluation Our direct client, a prestigious global firm, is creating a new advanced-technology organization. They are standing up AI evaluation as a first-class function and need a genuinely senior leader to build it. The firm’s products and agents will do various business functions which must be auditable. The standard is correct results every time, not “good enough for a personal assistant.” Because large language models are probabilistic, this takes real science. You will decide how to measure non-deterministic systems. You will find where they fail, including the corner cases nobody predicted. And you will design controls for the behavior that can’t be made deterministic. This is not a software-engineering or agent-building role. Other teams build the agents and own deployment and DevOps. You define how we know whether the agents can be trusted, and you build the team that does it. Note: this work can be performed from home, anywhere in the US. It is also open as a full-time salaried position as an alternative to long-term contract. What you’ll do
  • Establish and lead the evaluation function: set the vision, hire and develop leaders and build a team that runs with minimal day-to-day oversight.
  • Design evaluation harnesses and architecture for agentic and generative AI systems, both during development and in production.
  • Apply statistical and mathematical rigor to stochastic systems. That means deciding whether behavior can be made deterministic, how many runs are enough, how to separate real regressions from noise, and how to tell “succeeds at least once” from “succeeds every time.”
  • Where determinism isn’t possible, define fallback measures and compensating controls that detect and contain failures.
  • Monitor agents after deployment, detect failures and unexpected corner cases, and feed what you learn back into evaluation.
  • Define what “correct” means for multi-step work: accuracy against known-true data, sound reasoning and tool use, conclusions traceable to sources, and compliance with accounting and regulatory expectations.
  • Build and calibrate model-based graders by measuring agreement with human reviewers, checking for bias and watching for drift.
  • Partner with the engineering and DevOps teams who own agent development and release pipelines. Your results shape ship decisions.
Must have
  • A strong data science foundation: probability, statistics and linear algebra
  • Experience in both traditional machine learning and generative AI. Hands-on GenAI work is essential, since the evaluation problem is most severe there.
  • Hands-on experience designing or establishing evaluation infrastructure or architecture for ML or AI systems, built in practice and not just studied
  • The ability to walk through specific initiatives, lessons learned, problems encountered and how you solved them
  • Senior leadership experience: building teams, developing leaders and setting technical direction
  • Enough software engineering background to understand how systems are built and operated. About 5–6 years is sufficient if the rest of your career is in ML, data science or AI engineering.
  • Working understanding of CI/CD, deployment and production concepts. You won’t own them.
  • BS/MS or higher in a quantitative field such as statistics, data science, computer science or engineering. An advanced degree is a plus.
Nice to have
  • Regulated-industry exposure (audit, tax, accounting, financial services, regtech)
  • Experience making decisions explainable and auditable
  • Production monitoring and observability for ML or LLM systems
  • Experience with multi-agent systems or retrieval-based systems
  • Security and adversarial testing of AI (prompt injection, data leakage)
  • Hands-on use of public agent benchmarks or evaluation frameworks. Tell us which ones and what you’d change.
Immediate interview and start. Send your resume today, with a short note on the evaluation systems you’ve built and what you learned from them. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/