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Flexible Python Finance Jobs in Connecticut (NOW HIRING)

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Web Infrastructure Engineer

Greenwich, CT · On-site

$120K - $158K/yr

IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in ... Proficiency in scripting and automation tools (Python, Bash, Ansible, etc.) * Experience managing ...

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Flexible Python Finance information

What is the difference between Flexible Python Finance vs Data Analyst?

AspectFlexible Python FinanceData Analyst
Required SkillsPython, finance concepts, data analysisExcel, SQL, data visualization
Work EnvironmentFinance firms, trading floors, fintechCorporate, consulting, market research
CertificationsPython certifications, finance coursesNone mandatory, often data analysis certifications

Flexible Python Finance focuses on applying Python skills to finance-related tasks, while Data Analysts primarily analyze data across various industries. Both roles require data handling skills, but Flexible Python Finance emphasizes finance-specific knowledge and programming expertise.

What are popular job titles related to Flexible Python Finance jobs in Connecticut?

For Flexible Python Finance jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Flexible Python Finance jobs in Connecticut look for?

The top searched job categories for Flexible Python Finance jobs in Connecticut are:

What cities in Connecticut are hiring for Flexible Python Finance jobs?

Cities in Connecticut with the most Flexible Python Finance job openings:

Flexible Python Finance jobs near you
Infographic showing various Flexible Python Finance job openings in Connecticut as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Software Engineer (Fulltime - Onsite)

Cleo Consulting

Stamford, CT • On-site

Contractor

Posted 25 days ago

Job description

Job Title: Software Engineer
Location: Stamford, Connecticut
Full-time On-site no remote OR Hybrid

Hiring Manager notes

  • Fast process with responsive HM: Interview process is just a 15-min phone screen, one technical round (live coding), and a behavioral/onsite.
  • High fillability with clear specs: The hiring manager gave extremely specific requirements (T3 stack, Python, LLM APIs) and a concrete example candidate profile.

About

  • Client is an investment firm managing roughly $700 million, primarily a hedge fund with some private equity.
  • Team of 10, split between Fort Worth, Texas, and Stamford, Connecticut.

Role Requirements

  • Looking for a full-stack generalist with experience in the T3 stack (TypeScript, Python, AWS).
  • Proficiency in Python is necessary; familiarity with AI engineering, automation, and finance is a plus.
  • Required: 2 - 7 years of experience in full-stack software development experience, with proficiency in the T3 stack and python
  • Must have: Ability to read and write Python for scripting and automation
  • Experience with relational databases and writing production-quality SQL

Nice to have

  • Experience with AI/LLM APIs to build automations or agentic workflows
  • Finance, fintech, or quant-adjacent company background (including additional major/minor in undergrad)

Compensation and Logistics

  • Role is in-person in Stamford, Connecticut, five days a week.
  • Base salary range from $160,000 to $230,000, with potential discretionary bonus.
  • Interview Process
  • Initial screen, followed by 15-minute phone call, technical round, behavioral round, and on-site interview.
  • Technical assessments may involve building a project in real-time to evaluate problem-solving and coding skills.
  • Traits to avoid Job hopper — multiple short stints (e.g., 5 companies in 7 years)

Questions to ask

  • What's something cool you've built outside of a professional context — whether it's a personal tool, a side project, a sports betting model, or anything else you made just because you were curious?
  • What's your familiarity or interest in financial markets, investing, or other data-driven/quantitative domains like sports analytics?

About Client

  • Client is an investment firm founded 8.5 years ago that manages approximately $700 million in assets. The firm operates as a combination of hedge fund and private equity, with a flexible mandate spanning fundamental equities, credit investing, and private equity investing.
  • Client has delivered top 1 percentile net returns since inception, with high-20s net annualized performance. The firm has grown from $5 million on day one to ~$700 million under management, and counts some of the top universities in the world among its investors.
  • Client Labs is the quantitative research and technology arm supporting the Client Opportunities Fund. Their work spans three core areas:
  • Portfolio Support & Analytics: Serving as a research partner to the portfolio manager and fundamental analyst team, identifying areas of strength and weakness through rigorous quantitative analysis and building tools to improve core fund performance.
  • Risk Management: Designing and deploying custom factor hedges, constructing bespoke hedge baskets tailored to the fund's specific risk profile.
  • Alpha Factor Research: Developing proprietary alpha factors using fundamental and alternative data sources to identify high- and low-quality businesses, with potential to operate as standalone systematic investment strategies.
  • The firm is investing heavily in building proprietary software tools and AI integrations across every aspect of the research process — from idea generation to position sizing to LLM integrations — creating real technological edge in investment research.

“Cleo Consulting is an equal opportunity employer (Minorities/Women/Veterans/Disabled)”