Python-based Data Analyst

Algomine, a company belonging to the TTPSC Group, is looking for a Python -based Data Analyst.Responsibilities:Work closely with a team of data analysts and data scientists to deliver both common and custom types of credit underwriting insights , including but not limited to: Historical (actual) and future (projected) risk calculations, counterfactual simulations, model backtesting, projected business economic impact calculations.Collaborate with a cross-functional team of customer-facing teammates to ensure the deliverables are accurate and on time. Provide feedback to internal teams of data analysts, data scientists, and machine learning engineers to continuously improve internal processes and software. Deliver outputs, often in the form of Python/Jupyter-based reports , within a Unix-based Conda-managed environment. Delivery will require the combined use of: ○ Open-source Python-based packages, typically used for data wrangling and statistical analyses, e.g., pandas, numpy, scipy. ○ In-house proprietary Python-based packages. Conduct root-cause analysis as edge cases arise, resulting from unexpected or unintuitive analytical results , often stemming from incorrect or atypical information provided by our customers or business partners. Independently use Python packages , which includes reviewing API docs to understand the functional use and reading source code for debugging purposes to obtain a desired outcome, as required. Routinely use a distributed version control system, e.g., GitHub , as a part of your daily workflow.Requirements:A minimum of a Bachelor’s degree in a mathematical, statistics, analytics, computational, engineering, or computer science fieldStrong proficiency with data wrangling, SQL queries, analysis, and visualization using pandas and numpy in Python. Comfortable with GitHub and basic Unix terminals. Strong communication skills , with the ability to quickly understand problems, interpret results, and explain next steps/outcomes to technical collaborators. Proficient statistical and analytical ability (e.g., early college-level math & statistics) to tackle data-driven problems. Ability to manage and deliver multiple projects within their timelines. What we offer:Flexible forms of employment and working hoursInteresting and challenging work in a dynamically growing company within a Capital GroupWork on innovative projects using modern technologiesDirect impact on shaping the market image of the Capital Group companiesOpportunities to develop competencies across a wide range of areasAttractive remunerationEmployment stability and a friendly working atmosphere