What We Do
DowZack specialize in Quantitative & Data Science Fintech solution and Talent Search services for it global clients.Our forte is selection of Fintech talents mainly in quantitative trading, quantitative analytics and data analytics. We work closing with Investment Bankers, Silicon-Valley technology companies, hedge funds, boutique trading firms and financial institutions in enabling for Digital transformation with Data analytics and AI strategy and Enterprise agility.
Expertise in sourcing talents in quantitative research, trading, data analytics and fintech professionals. Our unique process-driven and research-intensive methodology differentiates ourself from our competitors. We help our clients in all the phases of the recruiting process.
- Talent planning
- Talent acquisition
- Talent retention
Our focus is to consistently provide high quality services to our clients is based on Professionalism, Trust, Market Dynamic and Win Win equation. Our strategies and business models that allow us to manage a people with good skillset, modular, scalable initiatives.
Talent Search recruitment model is specially designed for strategic search assignments.We work exclusively on client requirement until onboarding the professionals.
We works on conditional assignment recruitment model based on the client requirement terms and conditions. Handling right from planning, hiring, and onboarding the professionals.
We work on exclusive requirements with clients as we have built longterm relationship to fill all their position within a period of timeline which matches their goals.
We offer on-demand recruitment model where we work on requirement basis for short timeframe. We work on flexible terms and provide supplement extension to their team.
Our Outplacement And Career Transition Services provide support to displaced employees by helping them to re-orient themselves in the job market and make a career transition.
For process-driven, metrics-oriented organizations, we provide RPO model for an efficient, measurable solution to high-volume talent acquisition programs.
We employ Fintech professionals at all levels and our team continues to grow steadily
Trading firm is looking for Quantitative Researchers from various backgrounds to enhance and optimize its data driven initiatives for continual growth in making markets and focuses on innovation and leading execution technology to tackle some of the toughest challenges in quantitative investment management.
An investment management firm is looking for an individual with a quantitative background to join their portfolio management team. Collaborate with portfolio management team on developing new trading ideas. Highly proficient in programming with Python, R, and SQL. Background in statistics. Experience dealing with large amounts of data
Looking for Data Scientists AI use the power of machine learning to build models and optimize software tools that our customers depend on in order to meet the financial needs of people around the world. You will also work with a team of highly motivated members and integrate the solution in client environments.
Senior Data Scientist
Experience in Machine learning application in finance market data, preferably in pattern recognition, anomaly detection. Familiarity with unsupervised algorithms. Feature engineering on financial market data, blockchain data and market trends.
Looking for a Data Engineer who will work on the data transformation and system deployment. The primary focus will be on understanding data science solutions of a particular problem, implement data transformations required, as web APIs.
Looking for a senior Full Stack Developer to join them in their innovation labs division backed by a leading insurer. You will get exposure to latest tech languages in an established cloud infrastructure. There will be some level of AI tech involved as well.
Full Stack Developer - Cloud
Looking for ML Engineer with experience in architecting, designing, developing, and implementing ML in cloud solutions on cloud platforms. Experience with GCP is a plus. Support the data science team with machine learning solutions from well known cloud platforms.
Machine Learning Engineer
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Please feel free to contact us, we will be more than happy to talk to you
New York USA
+65 622 33 226
+1 973 799 3459