VP, Credit Risk Data Science Lead

March 1

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+13 more states

🌵 Arizona – Remote 🏄 California – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $158k - $198k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Sumitomo Mitsui Banking Corporation – SMBC Group

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Sumitomo Mitsui Banking Corporation – SMBC Group is a prominent financial institution that operates under the heritage of the Sumitomo and Mitsui groups. The bank provides a wide range of banking services including corporate and consumer finance, investment banking, and asset management. With a commitment to sustainability and community involvement, SMBC Group aims to promote responsible finance and support social challenges through various initiatives and strategic plans.

Advisory, Capital Markets & Investment Banking, Corporate & Institutional Client Banking, Derivatives, Equity Research, Sales & Trading, FX / Treasury Services, Global Trade Finance, Lease Finance, Leveraged Finance, Mergers & Acquisitions, Project Finance, and Real Estate Finance

10,000+ employees

🏦 Banking

💸 Finance

💳 Fintech

📋 Description

• Data Science Lead will enhance our Credit risk Data Science function, playing a pivotal role in shaping the future of data science and risk management in a dynamic, cross-collaborative environment at Jenius Bank. • You will analyze the data and propose business use cases for risk in collaboration with Credit, Product, Fraud and compliance teams and develop models or data driven insights and strategies using ML or/and traditional statistical methodologies.

🎯 Requirements

• 7+ years of experience, with at least 4 years in the Consumer financial services industry or a PhD with at least 5 years of professional experience. • A bachelor’s degree in mathematics, finance, industrial engineering, statistics, data science, or a related discipline; a master’s degree in these fields is preferred • Expertise in design and build of risk underwriting and account management models that leverage alternative data, such as bank transactional data and specialty bureaus • Strong expertise in statistical modeling methodologies, including ML and logistic regression, advanced data analysis techniques and reject inferencing. • Proficiency in Python and SQL, familiarity in working with GCP and Vertex AI is a plus • Experience with reporting tools like Power BI or Looker. • A data-driven approach to solving complex business challenges, with the ability to break down difficult problems into actionable solutions • Knowledge of credit products like Personal loans and Credit cards, with a strong understanding of credit underwriting, loan economics, and portfolio management • Exceptional communication skills, enabling you to convey complex ideas clearly and effectively to diverse audiences, including non-technical stakeholders • Creative problem solving, critical thinking skills, and get things done attitude

🏖️ Benefits

• Competitive portfolio of benefits • Annual discretionary incentive award