Senior Data Scientist

Arcana; Bengaluru Urban; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Arcana is seeking a Senior Data Scientist to join our team alongside founders, financial analysts, product managers, and engineers. You will dive into massive datasets to craft metrics that inform institutional investing decisions and shape our analytics platform.

You will apply advanced statistics, data modeling, and programming to identify patterns, build risk and investment metrics, and create dashboards that communicate insights to stakeholders across the business.

Qualifications

• Bachelor's degree in mathematics, statistics or related technical field, IIT preferred.
• 3+ years of data analysis and metrics development experience.
• 3+ years of experience interpreting data and reporting actions across stakeholders.
• 2+ years of SQL querying experience.
• 2+ years of Python scripting experience.
• Interest in learning new technologies to solve customer needs with creative freedom.
• Strong communication skills and business acumen.
• Self-starter with motivation to develop the best solutions.
• Experience with Airflow, BigQuery, and Clickhouse is a plus.

Responsibilities

• Derive investment-relevant metrics from large datasets with analysts and engineers.
• Apply statistics, modeling, and math to identify patterns and business questions.
• Implement risk factor model using advanced statistical and programming techniques.
• Conduct testing and validation of the model.
• Build customer-facing metrics and dashboards.
• Collaborate with analysts, engineers, and product managers to develop analytics platform.

Skills

SQL

Python

Data analysis

Metrics development

Statistics

Data modeling

Communication skills

Problem solving

Education

Bachelor's degree in Mathematics/Statistics or related field

IIT preferred

Tools

Airflow

Google BigQuery

ClickHouse

Job description

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.