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Flexible Python Financial 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 Financial information

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

AspectFlexible Python FinancialData Analyst
Required SkillsPython programming, financial modeling, data analysisExcel, SQL, data visualization, basic statistics
Work EnvironmentFinance firms, investment banks, fintech companiesCorporate, consulting, or tech companies
CertificationsFinancial certifications (CFA, FRM) helpful but not mandatoryNone specific, often data-related certifications

Flexible Python Financial roles focus on applying Python skills to financial data and modeling within finance industries, often requiring financial knowledge. Data Analysts work across various industries analyzing data using tools like Excel and SQL. While both roles involve data analysis, Flexible Python Financial positions emphasize programming and finance expertise, whereas Data Analysts focus on broader data interpretation and reporting.

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Flexible Python Financial jobs near you

Software Engineer (Fulltime - Onsite)

Stamford, CT • On-site

Cleo Consulting
See more jobs at Cleo Consultingexternal

Contractor

Posted 23 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)”