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Hedge Fund Software Engineer Remote Jobs in Mobile, AL

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

We are seeking candidates with strong software proficiency and experience in HR and payroll ... We provide innovative end-to-end CIS and ERP solutions that were engineered from the ground up to ...

About EDGE EDGE builds the software that modern precast concrete runs on. Built on Autodesk Revit ... We work with leading precast manufacturers and engineering firms across North America, helping them ...

While this is a full remote position, there is preference for candidates located in the Northern ... Proficient software experience should include Easy Power, SKM Powertools, ETAP, Aspen, and EMTP.

High Level Engineer - Controls

Mobile, AL · On-site +1

$82K - $107K/yr

This position is REMOTE and can be located anywhere within the US. How you will do it Under general ... and cloud-based analytic software solutions. Participates in customer meetings to identify ...

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

This is a remote position for candidates based in the United States. This role is contributing to ... Bachelor's degree in Engineering, Business Administration, or related field (or equivalent ...

Hedge Fund Software Engineer Remote information

See Mobile, AL salary details

$63K

$146.4K

$203.9K

How much do hedge fund software engineer remote jobs pay per year?

As of Aug 17, 2026, the average yearly pay for hedge fund software engineer remote in Mobile, AL is $146,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $171,700.00 per year, depending on experience, location, and employer.

What does a remote hedge fund software engineer do?

A remote hedge fund software engineer designs, develops, and maintains software systems that support trading, risk management, data analysis, and other key functions at a hedge fund. They work with technologies like Python, C++, or Java to build applications that process large volumes of financial data and help traders make informed decisions. Their responsibilities may include automating trading strategies, ensuring system reliability, and collaborating with quantitative analysts and portfolio managers—all while working from a remote location.

What are the key skills and qualifications needed to thrive as a remote hedge fund software engineer?

To thrive as a Hedge Fund Software Engineer (Remote), you need strong programming skills (often in Python, C++, or Java), a solid understanding of algorithms, data structures, and a relevant degree in computer science or a related field. Experience with financial systems, low-latency trading platforms, cloud computing, and familiarity with tools like Git and SQL are typically required, while certifications such as AWS Certified Solutions Architect can be beneficial. Excellent problem-solving, self-motivation, and clear communication skills are essential for collaborating across distributed teams and managing complex projects independently. These competencies ensure the reliability, efficiency, and scalability of trading systems, which are critical for maintaining a hedge fund's competitive edge.

What are some unique challenges faced by remote hedge fund software engineers compared to those in traditional finance software roles?

Remote Hedge Fund Software Engineers often encounter the challenge of collaborating with globally distributed teams while building and maintaining high-performance, low-latency trading systems. In addition to strong technical skills, effective communication and proactive problem-solving are crucial, as engineers must coordinate closely with traders, quants, and other stakeholders virtually. The fast-paced, results-driven hedge fund environment can require quick adaptation to ever-changing requirements and tight deadlines. However, this also offers exposure to cutting-edge technologies and the opportunity to directly impact trading performance from a remote setting.

What is the difference between Hedge Fund Software Engineer Remote vs Quantitative Analyst Remote?

AspectHedge Fund Software Engineer RemoteQuantitative Analyst Remote
Required CredentialsComputer Science degree, programming skills, financial knowledgeMathematics, statistics, programming skills, finance background
Work EnvironmentCollaborative teams, remote software development projectsData analysis, model development, remote research
Employer & Industry UsageHedge funds, asset management firms, fintech companiesHedge funds, investment firms, financial institutions
Search & Comparison IntentUnderstanding software engineering roles in hedge fundsComparing quantitative analysis roles in finance

Hedge Fund Software Engineers and Quantitative Analysts both work in finance but focus on different areas. Software engineers develop and maintain trading platforms, while quantitative analysts create models for investment strategies. Both roles often require programming skills and finance knowledge, but their daily tasks and objectives differ.

What are popular job titles related to Hedge Fund Software Engineer Remote jobs in Mobile, AL?

For Hedge Fund Software Engineer Remote jobs in Mobile, AL, the most frequently searched job titles are:

What job categories do people searching Hedge Fund Software Engineer Remote jobs in Mobile, AL look for?

The top searched job categories for Hedge Fund Software Engineer Remote jobs in Mobile, AL are:

Bioinformatics Software Engineer

micro1 AI

Mobile, AL • Remote

$80 - $110/hr

Part-time

Posted 14 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.