Wisetack

Wisetack is a company that offers innovative solutions, likely within the financial or technology sector, given its job openings in compliance, sales, data analysis, treasury, accounting, and data science.

Related companies:

Jobs at this company:

Apply

đź“Ť USA

đź’¸ 120800 - 169100 USD per year

🔍 Fintech

  • Bachelor’s degree in math, economics, statistics, or other quantitative field.
  • 5+ years of experience in an analytical role.
  • 2+ years of consumer lending experience, either at a large bank or a fintech.
  • Proficiency in SQL, R or Python.
  • Proficiency in Data Lake, DBT or Git.
  • Excellent written, verbal, and interpersonal communication skills.
  • Desire to take ownership of projects and drive them forward.

  • Conduct in-depth trend and portfolio analysis.
  • Make recommendations to optimize and enhance underwriting and credit/fraud decision-making.
  • Partner with Analytics, Data Science, and Data Engineering to build data models and automated data reporting.
  • Mentor team members on data best practices and help cultivate a data-driven culture.

PythonSQLGitData engineeringData scienceCommunication Skills

Posted 2024-10-23
Apply
Apply
🔥 FP&A Analyst
Posted 2024-10-21

đź“Ť USA

đź’¸ 70800 - 100000 USD per year

🔍 Consumer lending

  • 2+ years of experience in strategic finance, FP&A, or a closely related function.
  • Bachelor’s degree in finance, business, or a related field.
  • Experience with complex financial models, forecasting techniques, and data analysis.
  • Advanced Excel skills and ability to work with large data sets.
  • Exceptional problem solving skills and hands-on experience in building financial models.
  • Strong partnership skills and ability to work cross-functionally.
  • Self-directed and self-motivated with an ability to work independently.
  • Customer service mindset.

  • Build and refine monthly financial performance reports including variance analysis.
  • Partner with the growth team to define and monitor the company’s revenue drivers.
  • Build and own financial models for direct merchant acquisition.
  • Create and own detailed budgets for multiple departments and report on adherence.
  • Enhance modeling around operations, including engineering and servicing.
  • Participate in annual planning and quarterly re-forecasting processes.
  • Analyze financial data sets, trends, and KPIs for cost reduction and revenue growth.
  • Handle various ad hoc requests.

SQLData AnalysisStrategyData analysis

Posted 2024-10-21
Apply
Apply
🔥 Data Scientist
Posted 2024-10-17

đź“Ť USA

đź’¸ $100,000 - $140,000 per year

🔍 FinTech

  • M.S. in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field
  • 2+ years of experience as a Data Scientist with a total of 3+ years of professional experience
  • Familiarity with OLS and Logistic regression modeling, as well as familiarity with modern machine learning techniques such as gradient boosting and neural networks
  • 2+ years of experience with SQL
  • 2+ years of experience with either Python or R (We primarily use Python)
  • Demonstrated experience performing analyses that drive business decisions
  • Demonstrated experience either deploying ML models into production, or working with an engineering team to do so

  • Develop an understanding of different departments at Wisetack - primarily Fraud, Credit Risk, Product, and Growth - and come up with ideas for how predictive modeling / ML, experimentation, or analytics can be used to improve specific business processes
  • Develop data pipelines to operationalize predictive / ML models, in collaboration with our data engineering team
  • Monitor and improve predictive / ML models that have already been deployed
  • Present your work to stakeholders, including executive leadership, of varying degrees of technical expertise
  • Write clear, thorough documentation of your work, including your thought process, and future opportunities for improvement where applicable

PythonSQLMachine LearningData engineeringCollaboration

Posted 2024-10-17
Apply
Apply

đź“Ť USA

🧭 Full-Time

đź’¸ 83300 - 116600 USD per year

🔍 Fintech

  • 2-5 years of professional experience as a data analyst or related role.
  • Experience with SQL is preferred, or another data query language.
  • Python experience or a willingness to learn quickly.
  • Excellent communication skills to explain complex problems to stakeholders.
  • Keen attention to detail.
  • Self-directed and able to work independently in ambiguous situations.
  • A customer service mindset and ability to work as part of a team.

  • Run finance-related daily operations including validation of loan originations and secondary market transactions.
  • Build automation tasks.
  • Design and maintain scalable solutions for business initiatives.
  • Promote a data-driven culture by providing innovative data solutions.
  • Empower various teams as a subject matter expert in Treasury-related topics.
  • Collaborate cross-functionally with several teams.
  • Develop and maintain Treasury-specific datasets and data pipelines.
  • Handle ad hoc requests from the business.
  • Identify and implement changes to enhance controls and mitigate risk.

PythonSQLStrategyCommunication SkillsAttention to detail

Posted 2024-08-27
Apply