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Quantitative Research Assistant Jobs in Indiana (NOW HIRING)

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Quantitative Research Assistant information

What is a quantitative research assistant?

Quantitative research assistants are professionals who support research projects by collecting, analyzing, and interpreting numerical data. They often use statistical software to manage datasets, perform statistical analysis, and help prepare reports or presentations based on their findings. These assistants typically work in academic, scientific, or business settings and collaborate closely with lead researchers or data scientists. Their work helps ensure that research conclusions are based on rigorous and accurate quantitative analysis.

What are the key skills and qualifications needed to thrive as a quantitative research assistant?

To thrive as a Quantitative Research Assistant, you need strong analytical skills, proficiency in statistical methods, and a relevant degree in fields like mathematics, statistics, or economics. Familiarity with statistical software such as R, Stata, SPSS, or Python, as well as experience with data management systems, is typically required. Attention to detail, problem-solving abilities, and effective communication are key soft skills that set candidates apart. These skills are essential for ensuring the accuracy, reliability, and clarity of research findings, which directly impact the quality and credibility of quantitative research projects.

What are some common challenges quantitative research assistants face when managing large datasets, and how can these be addressed?

Quantitative Research Assistants often work with large, complex datasets that can present challenges such as data cleaning, ensuring accuracy, and maintaining data integrity. Handling missing values, outliers, or inconsistent formats requires attention to detail and strong technical skills in statistical software like R, Python, or SPSS. Collaborating closely with research teams can help clarify data requirements and resolve ambiguities early on. Regularly documenting procedures and validating data at each stage helps minimize errors and ensures reliable analysis results.

What is the difference between Quantitative Research Assistant vs Data Analyst?

AspectQuantitative Research AssistantData Analyst
Required CredentialsBachelor's degree in statistics, economics, or related fieldBachelor's or master's in data science, statistics, or related field
Work EnvironmentResearch institutions, universities, market research firmsCorporate, finance, healthcare, or tech companies
Employer & Industry UsageAcademic and research settings, market research firmsBusiness analytics, finance, marketing departments
Common Search & ComparisonOften compared for data handling and research tasksCompared for data processing and reporting roles

The main difference is that Quantitative Research Assistants focus on supporting research projects with data collection and analysis in academic or research settings, while Data Analysts typically work in business environments analyzing data to inform decisions. Both roles require strong quantitative skills and similar educational backgrounds, but their work environments and primary objectives differ.

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

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

What are popular job titles related to Quantitative Research Assistant jobs in Indiana?

For Quantitative Research Assistant jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Quantitative Research Assistant jobs in Indiana look for?

The top searched job categories for Quantitative Research Assistant jobs in Indiana are:

What cities in Indiana are hiring for Quantitative Research Assistant jobs?

Cities in Indiana with the most Quantitative Research Assistant job openings:

Quantitative Modeling and Research Analyst (II or Senior)

Federal Home Loan Bank of Indianapolis

Indianapolis, IN โ€ข Hybrid

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Job description

Is it a Bank? A cooperative? A leader in affordable housing? We are all those things and more!

Our core mission at FHLBank Indianapolis is to provide reliable and readily available liquidity to our member institutions to support housing finance and community development. Simply put, we're a bank for banks, credit unions, community development financial institutions and insurers across Indiana and Michigan. We also assist in meeting the economic and housing needs of communities and families through grants and subsidized advances that support affordable housing and economic development.

But enough about us, let's talk about you.

Are you looking for a company that views their employees as their greatest asset?

A company that's dedicated to making a difference in the community? So much so they pay their employees to volunteer?

Do you want to join a talented workforce that prioritizes equal opportunity within an inclusive culture, and promotes learning and development, unique skills/ideas, and employee engagement?

If you've said yes to these questions, then we might be a match!

Here is what we offer:

  • Flexible hybrid workforce model: Onsite three days a week and two days remote. We also offer remote flex days!

  • Fantastic, competitive pay and total rewards

  • Industry-high 401(k) match: up to 6% PLUS...an additional 4% contribution!

  • Tuition reimbursement assistance: To help you continue to develop personally and professionally.

  • Student loan repayment assistance: That's right, we will help you repay outstanding student loans!

  • Awesome Benefits Package: Medical, dental, vision benefits and even pet (you read that right) insurance!

  • Generous time off: Vacation, paid federal holidays, birthday month floating holiday, volunteer day and summer hours program

  • "Dress for your day" dress code: You choose the appropriate work attire based on what your day looks like.

Statistics show that it is less likely for some candidates to submit their application if they don't meet all the criteria within the job description. If this is you, we encourage you to give yourself a chance and submit your application anyway, as you may be the perfect match for this role!

Purpose:

The Quantitative Modeling and Research Analyst (II or Senior) is responsible for the development and maintenance of various financial models used across the organization. The role resides in the Modeling & Analytics Group (M&A) within the Enterprise Risk Management (ERM) department. Through these responsibilities, the M&A Group works closely with several lines of business, as well as with Information Technology, Model Risk Management, and Internal Audit.

The following statements are intended to describe the general nature and level of work being performed by people assigned to the job. They are not intended to be an exhaustive list of all responsibilities or abilities required. The Bank reserves the right to alter or amend this description at any time.

Specific Responsibilities:

  • Implements, tests, and operates a diverse range of models for loan valuation, pledged collateral hair-cut, probability of default, loss estimation, etc.

  • Utilizes modeling, statistical, and computational techniques to test, evaluate, and calibrate/tune various credit and market risk models, as well as to set data analytics complementary to model use.

  • Establishes and maintains model documentation for theory, settings, assumptions, change control, model performance monitoring, and model use guides in coordination with the Model Risk Management Group, as well as the Regulatory Advisory Bulletins.

  • Explains model details, theory, assumptions, and settings to Model Users and others across the organization.

  • Supports model validation requests and resolves model validation findings or recommendations.

  • Interacts directly with Model Validators and Regulators with regard to model settings, assumptions, implementation, etc.

  • Leads the process to develop required model enhancements.

  • Stays current on methodologies, statistical, mathematical, analytical, and computational techniques related to model management and development.

Competencies:

Business

  • Analytics Knowledge

  • Research Knowledge

  • Quantitative Implementation Knowledge

General

  • Maintaining Institutional Knowledge

  • Results-driven

  • Time Management

People

  • Communication

  • Interpersonal Skills

Position Requirements:

  • Graduate degree, Master's or PhD, in Mathematics, Quantitative Analysis, Statistics, Operations Research, Financial Engineering, or any other quantitative field. CFA or/and FRM certifications are a plus.

  • Preferred 2 years of experience for an Analyst II and 3+ years of experience for a Senior Analyst doing quantitative research, risk management, or any other quantitative related work. Previous experience in model development is desired.

  • Preferred 2 years of experience for an Analyst II and 3+ years of experience for a Senior Analyst in a commonly used programming language, such as Python, C/C++.

  • Experience with Asset/Liability and valuation software models, such as Polypaths, QRM is a plus.

  • Experience with database management concepts and tools, such as SQL is a plus.

  • Attention to detail, ability to multi-task, and high degree of initiative and independence.

  • Verbal, written, and interpersonal skills to communicate effectively with all levels of Bank personnel.

  • Must not have been convicted of any civil or criminal charge that would suggest a risk to Bank security.

  • Ability to work full-time.

  • Ability to uphold and model the Bank's Guiding Principles.

Hiring Range: Senior Analyst: $93,000 - $110,000, Analyst II: $85,000 - $100,000

Hiring ranges reflect the base salary that the Bank reasonably expects to pay for a given role and is not inclusive of annual incentive award opportunities, retirement benefits or the value of other health and welfare or other ancillary benefits. We consider many factors when determining base salaries such as individual background and experience, the competitive environment, education, particular skill set(s), and industry and institutional knowledge.

FHLBank Indianapolis is an Equal Opportunity Employer.