Senior Data Scientist
- Level
- Senior
- Work type
- Hybrid · Bengaluru
Not stated in the posting: salary, visa.
Open. First seen 3 October 2026.
About the role
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.
What this role asks for
Standard for data science / ML roles
Python · SQL
Common in data science / ML postings at any company.
Read against Arcana Analytics's other open postings on this site.
The team: Engineering
This role is one of 13 open in Engineering.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (8 of 13), PostgreSQL (4 of 13), SQL (4 of 13), Airflow (3 of 13), AWS (3 of 13), CI/CD (3 of 13), ClickHouse (3 of 13)
OTHER ROLES ON THIS TEAM
- Senior AI Engineer — Inference & Agent Systems posted Mar 15
- Staff Frontend Engineer posted Mar 6
- Senior AI Engineer — Inference & Agent Systems posted Mar 4
- Staff Software Engineer (Data Platform) posted Feb 27
- IT Support Engineer posted Sep 26
- DevOps Engineer posted Sep 11
- QA Engineer (Manual) posted Sep 10
- Staff Software Engineer posted Jun 13
- Senior Data Engineer posted Jun 13
- iOS Developer posted Jun 13
- Senior Security Engineer posted Jun 13
- Senior Frontend Engineer posted Jun 13
From the team and dates on Arcana Analytics's own job board.
Salary context
61 other open postings titled Senior Data Scientist state a salary: median USD 160,000 to USD 200,000 a year.
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