Senior Frontend Engineer - High-Performance Financial Platform

Location: New York City (Office)

Compensation: $185K - $250K

Join the Product & Platform team at a high-growth crypto derivatives exchange that is rapidly capturing market share in a multi-billion dollar annual sector. We are focused on building cutting-edge blockchain-backed financial products, starting with a multi-asset margin feature that will allow users to post variable forms of collateral. This feature is vital, as multi-asset margin comprises over 86% of accounts in the crypto industry.

You will play a key role in building and maintaining the applications that power our services. You will collaborate closely with designers, backend engineers, and product managers to deliver responsive, accessible, and high-performance user interfaces that bring complex financial tools directly to our users.

The Senior Frontend Engineer will be responsible for the full lifecycle of application development, focusing on performance, user experience, and real-time data visualization.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

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 - Data Engineering in India.

This role offers an exciting opportunity for a seasoned data engineer to design, build, and optimize robust, scalable data pipelines that support AI-driven analytics and large-scale data processing. You’ll work with technologies such as Apache Spark, Kafka, and Databricks to develop real-time and batch solutions, integrate machine learning models, and contribute to the company’s growing data infrastructure. Collaboration with cross-functional teams including data science and product engineering will be key as you build systems that drive innovation and performance across a global user base.

Accountabilities:

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 Staff Software Engineer, Integrations in United States.

As a Staff Software Engineer, Integrations, you will play a pivotal role in building and enhancing a scalable, reusable integration platform for the healthcare industry. You will collaborate closely with product teams, operations, and architects to design and implement high-performance integration solutions. Focusing on cost-efficiency, automation, and platform optimization, your work will directly impact the scalability of the platform while reducing manual efforts. This is an exciting opportunity for experienced engineers who are passionate about delivering solutions that improve healthcare interoperability.

Accountabilities:

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 Data Engineer in India, Thailand, Malaysia, Indonesia, Philippines.

As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based platforms to support data-driven decision-making across the organization. Working with cross-functional teams, you’ll bridge the gap between business needs and technical execution, ensuring high-quality data solutions. This role is ideal for someone who thrives in optimizing data systems and is passionate about leveraging data for impactful business outcomes.

Accountabilities: