ZipRecruiter

Log In

1

Algorithmic Trading Jobs in Indiana (NOW HIRING)

Motorola

Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end ... trade-offs. * Executive Technical Strategy & Metrics: Proven experience defining long-term ...

V2X

Agentic AI Engineer (T02)

Indianapolis, IN · On-site

... trade-offs, and design choices to teammates and stakeholders • Familiarity with distributed ... algorithms, or neuro-symbolic methods • Knowledge of mission data pipelines, sensor fusion, or ...

New

Bureau Veritas

Ability to break down complex problems and evaluate trade-offs between technical solutions ... Fundamental knowledge of data structures and algorithms Basic understanding of software development ...

V2X

Agentic AI Engineer (T02)

Indianapolis, IN · On-site

$99K - $133K/yr

... trade-offs, and design choices to teammates and stakeholders • Familiarity with distributed ... algorithms, or neuro-symbolic methods • Knowledge of mission data pipelines, sensor fusion, or ...

previous page

Showing results 21-36

All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Indiana

Algorithmic Trading information

See Indiana salary details

$70.9K

$81.6K

$89.4K

How much do algorithmic trading jobs pay per year?

As of Sep 14, 2026, the average yearly pay for algorithmic trading in Indiana is $81,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $86,600.00 per year, depending on experience, location, and employer.

What is algorithmic trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What are the key skills and qualifications needed to thrive as an algorithmic trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

More about Algorithmic Trading jobs

What are popular job titles related to Algorithmic Trading jobs in Indiana?

For Algorithmic Trading jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trading jobs in Indiana look for?

The top searched job categories for Algorithmic Trading jobs in Indiana are:

Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in Indiana as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $81,596 per year, or $39.2 per hour.

Senior Software Engineer, Core Experiences - West Lafayette, IN, USA

West Lafayette, IN • On-site

Clutch Canada
See more jobs at Clutch Canadaexternal

$117K - $155K/yr

Other

Re-posted 9 days ago

Key responsibilities

  • Collaborate with product teams to scope projects, find ways to reduce scope, and deliver solutions via cross-platform SDK.

  • Optimize existing functionality by designing more efficient abstractions and improving algorithms to enhance performance.

  • Ship cloud functions, lightweight backend services, and jobs using Kotlin.

Job description

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It is a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do
  • Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX trade-offs relevant to different product teams, and deliver solutions via our cross-platform SDK.
  • Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms.
  • Ship cloud functions, lightweight backend services, and jobs using Kotlin.
An Ideal Candidate Should Have
  • Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
  • Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time.
  • Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down.
  • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs.
  • Preferred Tech Stack:
    • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform)
    • Prior experience with GCP is a plus.
What We Offer
  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial‑minded team that supports risk, intuition, and hustle.
  • A hands‑off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid‑back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life‑changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.
Salary

United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience.

EEO Statement

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#J-18808-Ljbffr

Apply