Senior Data Scientist

Posted 23 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Information Technology
Portfolio intelligence for hedge funds and asset managers — analyze risk, decompose performance, and surface alpha.
The Role
Lead development of investment-relevant metrics and risk factor models from large datasets. Apply statistics, data modeling, simulation, and programming to validate models, build customer dashboards, and collaborate with analysts, engineers, and product managers to integrate analytics into the research platform.
Summary Generated by Built In

We're looking for a dynamic Senior Data Scientist to join our team, working alongside our founders, financial analysts, product managers, and engineers. This is your chance to get hands-on with massive datasets, crafting the metrics that matter to institutional investors worldwide. For those who are curious and passionate about financial technologies, this is a great opportunity to work at an extremely well-capitalized startup with a proven team of senior financial and tech industry talent to build the future of investing tools.

Responsibilities:

  • Work with large and complex data sets and derive investment-relevant metrics in close partnership with financial analysts and engineers.
  • Apply knowledge of statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development of fundamental metrics needed to evaluate various assets.
  • Implement the risk factor model using advanced statistical and programming techniques, ensuring its performance aligns with the proposed design.
  • Conduct rigorous testing and validation of the model to ensure its effectiveness in identifying, quantifying, and managing various risk factors.
  • Build customer-facing metrics and dashboards.
  • Work closely with analysts, engineers, and Product Managers and provide feedback as we develop our data analytics and research platform.

Requirements:

  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (or) degree in an analytical field (e. g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science). IIT preferred.
  • 3+ years of experience with data analysis and metrics development.
  • 3+ years of experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders.
  • 2+ years of experience writing SQL queries.
  • 2+ years of experience scripting in Python.
  • Interested in learning new technologies to solve customer needs with lots of creative freedom.
  • Strong communication skills and business acumen.
  • Self-starter, motivated by an interest in developing the best possible solutions to problems.
  • Strong SQL and Python programming skills.
  • Experience with Airflow, Google BigQuery, and Clickhouse is a plus.

Top Skills

Airflow
Clickhouse
Google Bigquery
Python
SQL
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The Company
HQ: New York, NY
141 Employees
Year Founded: 2022

What We Do

Arcana enables institutional investors to understand their portfolio risks, decompose single stock & book performance, drill into crowding, and isolate their idiosyncratic differentiation. Built on our proprietary crowding, ownership, factor risk, and performance datasets. The company's investors include D1 Capital, Duquesne (Stan Druckenmiller), Tiger Global, Abstract Ventures, GoldenTree Asset Management, Ryan Roslansky (CEO LinkedIn), and Akshay Kothari (COO Notion), among others.

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