Quantitative Analyst I

Data Analysis Incorporated; Bengaluru; On-site; INR 8,00,000 - 12,00,000; Full time

Job summary

A leading data analysis firm in Bengaluru is seeking a Quantitative Analyst I to gather, clean, and analyze time series data. The role involves building tools and data sets to support investment management activities. Candidates should have a Bachelor's degree in STEM or Finance, and strong skills in SQL and Python are required. The ideal candidate will have excellent statistical knowledge and a passion for data analysis, alongside effective communication skills.

Qualifications

• Highly skilled in writing SQL queries to gather, analyze, and clean market data.
• Ability to write prototype quality code using Python.
• Excellent working knowledge of descriptive and inferential statistics.

Responsibilities

• Gather, clean, and analyze time series data.
• Build, clean, and transform various time series data sets.
• Analyze large data sets and generate descriptive statistics.

Skills

SQL

Python

Descriptive statistics

Data analysis

Time series data

Excel

PowerPoint

Education

Bachelor’s degree in STEM or Finance

Tools

Jira

Confluence

Job description

About Us

O'Neil Global Advisors (OGA) is an investment advisor that builds algorithmic strategies based on proprietary quantitative factor research pioneered by investing legend William J. O'Neil. Bill's methodology has achieved consistent success over more than five decades, and OGA's strategies provide our clients with an exclusive way to capture the success of his powerful and disciplined approached to investing. We develop strategies that are inspired by Bill's disciplined quantitative approach and incorporate his desire for constant improvement through ongoing backtesting.

Summary

Responsible for the gathering, cleaning, and analyzing time series data. Together with our team of data scientists and portfolio managers, the Quantitative Analyst I will develop new tools and data sets that support our factor research and investment management activities.

Duties and Responsibilities

• Works independently on variety of data collection and data analysis projects
• Build, clean, and transform various time series data sets
• Work with unstructured data to extract relevant features
• Analyze large data sets and generate descriptive statistics
• Build scripts in Python and SQL
• Document the data sets in Confluence
• Work with developers to troubleshoot and fix data issues
• Track and report on data issues using Jira
• Provide support to our data science and investment management teams
• Perform other duties as requested by management

Qualifications & Requirements

• Bachelor’s degree in STEM or Finance is required
• Highly skilled in writing SQL queries to gather, analyze, and clean market data
• Excellent working knowledge of descriptive and inferential statistics
• Ability to write prototype quality code using Python
• Course work or personal interest in equity investment is a plus
• Must have excellent Excel and PowerPoint skills
• Perform all work and activities with honesty and integrity
• Effectively communicate (and listen) clearly, professionally, politely and persuasively in all situations; respond well and in a reasonable, timely manner
• Challenge conventional practices and use creativity and information to lead, innovate, problem solve, and implement ideas to contribute to the growth of the organization
• Collaborates with co-workers to achieve common goals
• Take personal responsibility for productivity, quality and timeliness of work

Working Conditions

While performing the duties of this job, the employee is regularly required to sit and use hands to type. Moderate travel. The noise level in the work environment is usually moderate.Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Equal Opportunity Employer

O'Neil Global Advisors is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.