Remote Jobs at Arta Finance

- At least 8-10 years of overall software development experience - Extensive experience with cloud platforms such as AWS/Azure, and preferably GCP, along with cloud-native technologies - Strong expertise in CI/CD pipelines, containerization (e.g., Docker, Kubernetes), orchestration technologies, and infrastructure-as-code tools like Pulumi - A deep understanding of security best practices in cloud environments - Proven ability to work in cross-functional teams, collaborating effectively with fro…

- 8+ years of backend software engineering experience in high-stakes environments - Strong experience in Python, Go, or Java (bonus points for Python/Go) - Proven track record working with data-intensive systems (batch + real-time), especially in the fintech, trading, or market data space - Experience building and scaling data pipelines (e.g., using Kafka, Spark, Airflow, or equivalent tools) - Familiarity with market data feeds, order management systems, or electronic trading platforms - Strong…

- Bachelor's degree, or equivalent experience - 3+ years of experience in a comparable role - Knowledge of endpoint management tools - Experience procuring assets across a variety of platforms (Windows, Mac, office equipment) - Experience in at least one scripting language (e.g. Python, Go, Powershell, etc.) or infrastructure as code (e.g. Ansible, Terraform, etc.) - Strong knowledge of enterprise operating systems (Windows, Mac, Linux) - Strong written skills to aid in building the documentatio…

Candidates should have 4+ years of experience in collections strategy, risk analytics, and credit risk management within financial services, preferably in consumer lending fintech. Proven expertise in data-driven collections strategies, risk segmentation, and model-driven outreach optimization is required, along with strong technical skills in SQL and Python. Familiarity with AI-driven collections scoring and automation is highly preferred, and candidates should be comfortable working hands-on w…

Candidates should possess a Bachelor's degree in engineering, business, finance, data analytics, computer science, or mathematics/economics. A minimum of 2 years of experience in data analytics, business analysis, or credit risk management is required, along with proven experience in designing and interpreting tests. Proficiency in SQL and Tableau is essential, and candidates should be comfortable learning new analytical tools and methods. Experience working cross-functionally with tech, product…

- Minimum 4 years working directly with stakeholders on analytics requirements, changes, and validation. Ability to quickly and deeply understand stakeholder needs, then translate to analytics models. Strong communication skills - Minimum 4 years in an analytical role supporting finance, accounting, or lending teams preferably in a fintech or financial services environment - Minimum 2 years working with dbt, in data model design, implementation, and validation - Minimum 2 years working in an int…

Candidates should have 5-7 years of accounting experience, preferably in both public accounting and a fast-paced, high-growth in-house environment such as fintech, financial services, or credit/lending. A strong working knowledge of U.S. GAAP and accounting operations, proficiency in Microsoft Excel, and excellent attention to detail are required. Experience with Netsuite or similar ERP systems and a CPA or CPA-track are strongly preferred. The ability to operate independently in a fast-paced en…

Candidates should possess a Bachelor's degree in Data Science, Statistics, Computer Science, Marketing, Business, or a related field. A minimum of 4 years of experience in financial services or a related industry is required, with deep expertise in analytics and data science principles. Strong proficiency in SQL, Python, automation, and modeling techniques is essential, along with proven analytical expertise in solving complex problems, unlocking novel insights, and ensuring data integrity. Demo…

Candidates should possess a Bachelor's degree in engineering, computer science, finance, or mathematics, with at least 4 years of industry experience in data mining, machine learning, statistical analysis, and predictive modeling. A deep understanding of statistics and machine learning techniques like regression, classification, clustering, and optimization is required, along with experience building predictive models from scratch. Strong programming skills in Python and intermediate to advanced…

Candidates should possess strong experience with Databricks for ETL and data pipeline work, hands-on experience with Terraform, and proficiency with dbt. They must also have experience building and managing platform infrastructure resources, be comfortable working in a globally distributed, remote team, and demonstrate the ability to work independently and provide leadership within a regional data engineering context.

Candidates should possess over 7 years of experience developing web APIs within .NET (C#) and have a proven track record of building resilient financial systems with state machine logic and complex lifecycles. A strong understanding of distributed systems, queue-based architectures, and data-intensive applications is required, along with experience scaling consumer-facing products with significant transaction volumes. The ability to balance immediate business needs with long-term architectural c…

Candidates should have 5-8+ years of experience in SRE/DevOps/Infrastructure roles supporting production systems, with a proven ability to own critical infrastructure and drive change end-to-end. Experience with cloud technologies and tools, including Infrastructure-as-Code (IaC) with Terraform for cloud automation (preferably Microsoft Azure), is essential. Proficiency in leveraging AI-driven tooling for development acceleration and automation, strong software development skills (preferably C#/…

Candidates should have 5+ years of product management experience, preferably in fintech, consumer credit, or financial services, with direct experience in building and scaling credit card products being a strong advantage. A Bachelor's degree in an analytical or technical field like Engineering, Computer Science, or Economics is required, along with the ability to thrive in a startup environment. Strong analytical skills, comfort with defining and measuring goals, and experience with SQL, Python…

Candidates should possess a BS degree in engineering, computer science, finance, or mathematics, with at least 6 years of industry experience in data mining, machine learning, statistical analysis, and predictive modeling. A deep understanding of statistics and machine learning techniques, including regression, classification, clustering, and optimization, is required, along with experience building predictive models from scratch. Strong programming skills in Python with intermediate to advanced…

Candidates should have 3-5 years of technical writing experience in software/data environments and a portfolio demonstrating the ability to independently drive documentation from discovery through publication. A strong ability to simplify complex concepts, edit beyond AI-generated drafts, and read schemas while discussing data with engineers and analysts is required. Familiarity with SQL fundamentals and BI concepts, strong stakeholder management skills, and a deep interest in AI are also necess…