Achieve · 1 week ago

Sr. Data Scientist

San Francisco, CA

Full-time

Onsite

Mid Level

2+ years exp

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Financial ServicesFinTech

Insider Connection @Achieve

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Join the Achieve Lending Risk Modeling team to shape robust modelling solutions, bridge the communication with the business on any model related choices from data, input, variables, pricing, and seek model approvals from various risk committees by clearly presenting the model framework and underlying assumptions.

Develop subject matter expertise of credit risk models such as Probability of Default, Prepayment, etc.

Develop, maintain, and execute select models, quantitative methods, assumptions utilized in loss forecasting; and associated tools and reports

Conduct forward-looking analytics, including leveraging modeling and/or statistical tools, to identify pockets of portfolio risk

Leveraging the latest in decision-science and other data/AI tools

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLTableauMS ExcelPythonRCredit risk managementData analysisProject managementAnalytical skillsCritical thinkingProblem-solvingInitiative-takingProactiveEffective communication

Required

Bachelor’s degree in finance, economics, mathematics, statistics or related quantitative discipline is required

Minimum of 2 years of experience working in credit risk management in financial institutions

Analytical skills in SQL, Tableau, MS Excel, Python or R to quickly leverage large complex data and synthetize findings

Strong analytical, critical thinking and problem-solving skills, coupled with an ability to translate ambiguous ideas/issues into well-defined plans/solutions with a track-record for delivering results

Initiative-taking and proactive with proven ability to work effectively under pressure to meet deadlines

Effective communication skills, with ability to explain complex quantitative models clearly to audiences without a quantitative background

Ability to work on multiple projects and thrive in a fast-paced environment