Trader Analyst - High-Performance On-Chain Market Maker

Location: Remote - Must be able to work PST hours - so preference is US/South America & New Zealand based candidates.

Compensation: $75K - $100K

We are a stealth, on-chain, Solana-focused low-cap market maker: a private, tight-knit team obsessed with performance, precision, innovation, and absolute excellence. We operate fast, stay quiet, and execute aggressively. If you thrive in an elite environment where growth is earned, not given, you will fit in.

We are seeking a Trader Analyst to operate at the intersection of execution trading, liquidity strategy, and client advisory. This high-impact role balances direct client communication with hands-on, high-speed trading execution in low-cap crypto assets.

The Trader Analyst will be responsible for balancing key client-facing communication, strategic analysis, and disciplined trading execution in a fast-paced, 7-day market environment.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are seeking an experienced Capital Markets Business Analyst to support initiatives across Data Foundation & Analytics reference data, market data, and trade lifecycle processes. The ideal candidate will have strong capital markets domain expertise, hands-on data analysis skills, and the ability to bridge business requirements with technical delivery teams.

Key Responsibilities

Capital Markets & Trade Lifecycle:

• Analyze and document business processes across equities, fixed income, and derivatives products.
• Support end-to-end trade lifecycle analysis and process optimization.

Reference Data & Master Data Management (MDM):

• Contribute to golden-source reference data design and attribute hierarchies.
• Support data modeling, data lineage mapping, and corporate action workflows.

Data Quality & Controls:

Join us as our Remuneration and Benefits Specialist! 

We are seeking a Remuneration and Benefits Specialist to join our Corporate People team. Here you will have a central role in shaping our global compensation structure, HCM system and reporting and data alignment across the DOF Group. You will work closely with global and local HR teams and will report to the EVP People & Organisation. We are looking for an experienced HR resource that is technically savvy, with knowledge of compensation and benefits processes. 

Responsibilities 

Backend Data Engineer - Real-Time Crypto Analytics Infrastructure

Location: London, New York City (Office)

Compensation: $250K - $300K

We are a high-growth software development company of elite builders, redefining what's possible and proud contributors to the largest crypto social network globally. We are seeking a Backend Engineer focused on data to design and scale our real-time data infrastructure at the forefront of crypto and social finance. This role is for a self-starter who thrives on solving complex, high-throughput data challenges in a fast-paced environment.

You will own the end-to-end architecture and operation of our real-time analytics pipeline, ensuring low-latency insights are always available to internal and external stakeholders. This role requires interacting directly with high-throughput blockchain infrastructure and solving significant challenges related to data consistency, scale, and performance.

What You'll Do:

Founding Engineer

Location: San Francisco, CA (Union Square area)

Employment Type: Full-time

Work Arrangement: On-site

About the Role

Our client, is an applied AI research lab building high-fidelity agent environments and tooling with the bold thesis of becoming the single global workforce supplier of AI employees for the entire global economy. They are currently focused on conquering the frontiers of planning, memory, and "always-on-behavior" for their agents.

As a Founding Engineer, you will have a high-agency role, working directly with the CEO and founding team. Your contributions will go beyond just code, actively shaping the product, culture, and architecture. You must be prepared to ship fast, experiment, and iterate without heavy process.

What You'll Do

Location: New York City

Employment Type: Full-time

Work Arrangement: On-site in NYC office (regular travel, 30-50%, for client engagements)

About the Role

Our client, an AI startup founded by engineers from institutions like Palantir and Citadel, is building the first AI-augmented deep research platform for the financial services industry. They recently raised $7.25 million from backers including founders of OpenAI and DBT.

As a Forward Deployed Software Engineer, you will be the technical architect for their most strategic client relationships at top financial firms. This role embodies the principle of "Forward-Deployed with Product DNA," meaning you embed directly with clients to own their outcomes while simultaneously architecting platform features that serve the entire market. Success is measured by your ability to iterate, deploy, and co-develop competitive advantages in high-stakes research environments.

Key Responsibilities

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Currently, we are hiring a Data Quality Expert for one of our partner organizations in KSA on a 1-year contract, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

We are looking for a highly motivated, results-oriented Business Analyst to join our Revenue operations team. The primary focus of this position will be to create accurate reporting and ensure data integrity and cohesion throughout the customer journey utilizing various data points from the business CRM to subscription accounting systems.  The right person for this job has a team player approach, attention to detail, excels at problem solving through critical analysis, and is challenged by process review and continuous improvement. This role focuses on supporting business operations through insightful data analysis and streamlined reporting to the RevOps Director and involved stakeholders, while safeguarding and managing data integrity throughout the tech stack. The ability to recognize trends and remove bottlenecks throughout the RevOps Engine by suggesting and assisting in the implementation of automations, automated reporting and seamless system integrations will also be a major focus for the position.

You will be joining the RevOps team within the Commercial organization that facilitates the smooth processes, reporting, analytics and enablement of the client facing teams, maximizing the effectiveness of the Revenue Engine.

Requirements

• Provide accuracy in CRM (Pipedrive) and subscription accounting systems 

• Partnering closely with RevOps Manager to understand our CRM and subscription accounting systems and work on continuous improvement 

• Cultivating and sustaining strong working relationships with pivotal business partners and GTM teams (e.g.

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Software Engineer – Performance in Colorado.

This role is ideal for a backend engineer passionate about high-scale distributed systems and performance optimization. You’ll work at the core of a critical mobile measurement platform, helping to design and operate real-time infrastructure that processes billions of events per day. This role involves deep system-level thinking, crafting low-latency services, optimizing attribution logic, and building resilient data pipelines. You’ll work closely with cross-functional teams, own major technical projects, and have direct impact on how marketers evaluate their campaign effectiveness.

Accountabilities: