Recruitment Solutions
We connect top-tier talent across Technology, Banking & Finance and Life Sciences with exceptional companies. As a technology product and services company, we understand technical recruitment like no other. Our recruiting team works in collaboration with our engineers to identify the very best talent by administering a preliminary technical screening and an interactive coding exercise. This rigorous process enables us to reduce the number of resumes that are submitted and provides only those profiles that are most closely aligned to our client's needs.
Markets
Software Development
Quantitative Research
Portfolio Management
Data Engineering
Technology Infrastructure
Senior Executives
Client Profiles
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Large multi-strategy hedge funds with over $10 Billion AUM in NYC, Chicago, London and Singapore
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Quantitative hedge funds of various sizes
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Tier 1 Investment Banks
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Tech startups focused on Cryptocurrency, AI, AdTech, Cyber
Placements in 20 companies in 2019
40
200%
YOY growth in placements
Process
1
We meet with the hiring manager to understand their requirements for the role.
Understand role requirements
2
Source the right candidates
We source candidates using our internal database, professional networks and job boards.
3
We screen candidates for technical competence, cultural fitment and other factors specific to the role.
Screen candidates for quality
4
Manage the logistics of interviews
We work with the hiring manager and candidate to set up interviews quickly and efficiently.
5
Support offer and placement
We support the hiring manager make offer to the candidate of choice. We function as the trusted partner for both the client and the candidate and ensure smooth onboarding.
Specializing In
Software Development
Distributed Systems, Low Latency, Database Optimizations, Kernel Programming, Streaming Development, Back-end, Server Side, Web and Front-end. The commonality across all roles is a strong focus on algorithms, data structures, and problem solving skills.
Data Science and Analytics
Data Lake Design, Data Modeling, Machine Learning, Artificial Intelligence, NLP, Semantic Web, Ontology, Deep Learning, RNN / ONN Modeling and Streaming Data Analytics.
Business Intelligence and Data Warehousing
Data Visualization, Reporting, BI Analytics, Insight, Predictive, Data Mining, Data Migration, Data Transformation, ETL and Information Management.
Cybersecurity
Information Security Architecture, Application Security, Communication and Social Media Security, Network Security, Cross Platform Threat Detection, Endpoint Security, Penetration Testing, Social Engineering Threat detection and Secure DevOps.
ERP
ERP System Implementation, Supply Chain Management, Inventory Control, Order Management, E-Commerce and Customer Relationship Management (CRM).
Infrastructure and Cloud
HPC, Networks, Systems, Storage, Server, Virtualization, Data Center, Mainframe, Continuous Integration, Build and Release, DevOps, Wireless, IaaS, PaaS, SaaS, Mobile, and Apps.
