Data Intellect Logo

Data Intellect

OneTick Implementation Engineer - Surveillance

Reposted 18 Hours Ago
Be an Early Applicant
Hybrid
New York, NY, USA
Mid level
Hybrid
New York, NY, USA
Mid level
The OneTick Implementation Engineer implements and supports high-performance analytics solutions for clients, focusing on data workflows, client delivery, and production monitoring.
The summary above was generated by AI
Company Description

At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges.

We do this by living the [DI] code:

We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness.

“We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO

Job Description

We are seeking a OneTick Implementation Engineer to implement, deploy, and operate high‑performance analytics and surveillance solutions for clients. The role sits at the intersection of platform engineering, data workflows, and client delivery, supporting both cloud‑hosted and customer‑managed environments.

You will work on technically demanding projects for financial institutions, market infrastructure providers, regulators, and quantitative trading firms, collaborating closely with internal product teams and external client stakeholders. Most implementations are cloud‑based, with increasing use of containerised and orchestrated environments.

Key Responsibilities

Platform Implementation & Operations

  • Implement, deploy, and support OneTick solutions across cloud and client environments
  • Contribute to the design and maintenance of scalable, resilient infrastructure for analytics and surveillance workloads
  • Support system configuration, upgrades, and production releases

Data Pipelines & Workflows

  • Build and maintain efficient data ingestion, transformation, and loading workflows
  • Implement batch and streaming workflows to support analytics and monitoring use cases
  • Ensure performance, reliability, and data integrity across high‑volume datasets

Client‑Specific Delivery

  • Configure and customize OneTick deployments to meet client‑specific business and regulatory requirements
  • Develop client‑specific extensions and integrations on top of standard products
  • Work directly with client technical teams on installation, configuration, and troubleshooting

Monitoring & Support

  • Monitor production environments, identify issues, and troubleshoot failures
  • Partner with product engineering teams to resolve defects and implement improvements
  • Produce clear technical documentation and operational runbooks

Collaboration & Delivery

  • Communicate effectively with customers on technical and implementation‑related topics
  • Participate in Agile delivery models, contributing across the full implementation lifecycle
  • Support knowledge transfer and training for client users and internal teams

Qualifications

  • Experience delivering production analytics, surveillance, or market data platforms
  • Strong programming experience in Python or a comparable language
  • Solid understanding of data workflows, ETL processes, and distributed systems concepts
  • Confidence working in Linux/Unix environments
  • Experience writing unit tests and working with structured testing practices
  • Familiarity with containerised or orchestrated environments (e.g. Kubernetes)
  • Comfortable working in client‑facing roles, explaining technical concepts clearly
  • Strong written and verbal communication skills in English

Advantageous

  • Direct experience with OneTick implementations or operations
  • Exposure to cloud‑native architectures (preferably AWS)
  • Experience with workflow orchestration, monitoring, or alerting tools
  • Background in financial markets, trade surveillance, regulatory analytics, or quantitative data platforms
  • Experience working under security, regulatory, or data‑privacy constraints

 

 

Additional Information

A little background on DI

Simply put – we turn big data problems into smart data solutions

At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare.

This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions.

Fair employment and equal opportunities

Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.

Welcome to Data Intellect.

#ChallengeAccepted

Similar Jobs

2 Minutes Ago
Hybrid
New York, NY, USA
136K-169K Annually
Senior level
136K-169K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Develop and validate market and counterparty credit risk models (VaR, Greeks, PFE, CVA) for Capital Markets. Collaborate with business partners to build cloud-based, ML-enabled analytical solutions, automate processes, communicate results, and own model development from concept through deployment and monitoring.
Top Skills: .NetCloud ComputingMachine LearningPythonRSQL
2 Minutes Ago
Hybrid
New York, NY, USA
251K-286K Annually
Senior level
251K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, development, deployment, and support of large-scale AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and optimization to improve scalability, cost, latency, and throughput while guiding technical vision and cross-functional delivery.
Top Skills: AWSAws UltraclustersAzureC#C++GoGCPHugging FaceJavaLarge Language ModelsLlm InferenceNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
2 Minutes Ago
Hybrid
New York, NY, USA
183K-250K Annually
Senior level
183K-250K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead and grow product design teams focused on enterprise enablement and innovation. Drive human-centered design, strategy, cross-functional alignment, and high-fidelity artifacts (journeys, prototypes, vision stories) to solve complex, regulated business problems.
Top Skills: Design SystemsFigma

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account