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Associate Quantitative Analyst Jobs in Indiana (NOW HIRING)

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

... completed by associate analysts, as requested by senior analyst • Interprets data and from ... and quantitative data. • Working knowledge of MS Office Suite including Excel, Word, and ...

Ascension

Financial Analyst

Carmel, IN · Hybrid

$65K - $91K/yr

Translate complex quantitative findings into clear insights, serving as a consultative financial ... High School diploma equivalency with 2 years of cumulative experience OR Associate's degree ...

Ascension

Financial Analyst

Carmel, IN · Hybrid

$65K/yr

We empower our 97,000+ associates to bring their skills and expertise every day to reimagining ... Translate complex quantitative findings into clear insights, serving as a consultative financial ...

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Associate Quantitative Analyst information

What does an associate quantitative analyst do?

An Associate Quantitative Analyst is responsible for applying mathematical, statistical, and analytical methods to financial and risk management problems. Their tasks often include building financial models, analyzing large datasets, and supporting senior analysts or portfolio managers with data-driven insights. They typically use programming languages like Python, R, or MATLAB to develop algorithms and test investment strategies. Associate Quantitative Analysts play a crucial role in helping organizations make data-informed decisions in areas such as trading, asset management, and risk assessment.

What are the key skills and qualifications needed to thrive as an associate quantitative analyst?

To thrive as an Associate Quantitative Analyst, you need strong analytical skills, advanced proficiency in mathematics and statistics, and typically a degree in a quantitative field such as mathematics, statistics, finance, or engineering. Familiarity with programming languages like Python or R, experience with statistical modeling tools, and knowledge of data analysis platforms are commonly required. Attention to detail, problem-solving ability, and effective communication skills help you interpret data and collaborate with team members. These skills are crucial for developing accurate models, providing actionable insights, and supporting data-driven decision-making in complex financial environments.

What are some common challenges an associate quantitative analyst faces when transitioning from academia to industry?

One common challenge for Associate Quantitative Analysts moving from academia to industry is adapting to the fast-paced, results-driven environment where deadlines and business impacts are prioritized over theoretical exploration. Unlike academic research, industry projects often require quick, practical solutions and effective communication with non-technical stakeholders. Additionally, analysts may need to balance multiple projects simultaneously and collaborate closely with teams such as risk management, IT, and trading desks. Developing strong project management and communication skills can help ease this transition.

What is the difference between Associate Quantitative Analyst vs Quantitative Analyst?

AspectAssociate Quantitative AnalystQuantitative Analyst
Required CredentialsBachelor's degree in finance, mathematics, or related field; some roles may require a master'sBachelor's or master's degree in quantitative fields; often more experience required
Work EnvironmentEntry-level position in finance or investment firms, supporting senior analystsMid-level role, involved in developing models and strategies in finance firms
Employer & Industry UsageCommon in asset management, hedge funds, investment banksUsed across similar financial institutions, often as a step toward senior roles

The Associate Quantitative Analyst typically holds an entry-level position with a focus on supporting quantitative teams, while a Quantitative Analyst usually has more experience and takes on more complex modeling tasks. Both roles are essential in financial analysis, but the associate role often serves as a stepping stone to becoming a full Quantitative Analyst.

What are the most commonly searched types of Quantitative Analyst jobs in Indiana?

The most popular types of Quantitative Analyst jobs in Indiana are:

What are popular job titles related to Associate Quantitative Analyst jobs in Indiana?

For Associate Quantitative Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Associate Quantitative Analyst jobs in Indiana look for?

The top searched job categories for Associate Quantitative Analyst jobs in Indiana are:

What cities in Indiana are hiring for Associate Quantitative Analyst jobs?

Cities in Indiana with the most Associate Quantitative Analyst job openings:

Associate Quantitative Analyst jobs near you

Data Analyst - Indianapolis, IN

Indianapolis, IN • On-site

STI
See more jobs at STIexternal

Full-time

Re-posted 6 days ago

Job description

The incumbent will validate and analyze agency data to garner public health insight for specific agency divisions. The role will include exploratory data analysis, reporting, descriptive statistics, dataset curation, and data visualization.
The Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports.
JOB DUTIES
• Serves as project lead/subject matter expert for specific data sources, as assigned
• Reviews and provides feedback on the work products of other analysts
• Responsible for transferring raw data to the appropriate location for use in data analysis projects
• Wrangles, cleans, and validates agency data sources with minimal guidance
• Conducts general analysis of agency datasets; serves as project lead, as assigned.
• Contributes to complex analysis of agency datasets, as requested
• Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting
• Oversee and review projects completed by associate analysts, as requested by senior analyst
• Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies
• Collaborate with internal and external partners to develop novel ways of using and reporting out data.
• Provide technical assistance to program areas for the creation of reports and grant deliverables
REQUIREMENTS
• Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.
• Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.
• Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.
• Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.
• Effective time management and program management skills.
• Ability to work in a team environment with multiple and fluid demands.
• Ability to maintain effective and professional working relationships with internal and external customers.
• Ability to research and document findings.

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