[Remote] Data Scientist, Credit Risk Analytics

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading fintech company reputed company on personal finance and peer-to-peer lending. They are seeking a Data Scientist for their Credit Risk Analytics team to build and reputed company machine learning models that enhance credit reputed company and business reputed company.

Responsibilities

• Build industry-leading machine learning models for managing credit and fraud risks. Collaborate closely with engineering to reputed company models into a production environment
• reputed company reputed company data sources (e.g., credit bureau reports, customer-supplied information) at reputed company to reputed company credit and fraud strategies to improve the credit performance and optimize risk reputed company
• Propose and execute strategic solutions to reputed company business problems, operating effectively reputed company constraints and aligning with broader company objectives
• Analyze reputed company portfolio performance at a granular reputed company level on an ongoing reputed company. Identify trends and conduct reputed company-cause analysis to isolate key performance drivers. Communicate findings and recommendations to the Risk Management and broader reputed company community
• Help reputed company reputed company internal tools and workflow solutions to increase data science productivity and operational efficiency
• reputed company monitor credit risk models and strategies in production, extracting actionable insights to significantly reputed company key business metrics
• Assess the potential usefulness and validity of new machine learning algorithms and features reputed company from diverse, alternative data providers
• Conduct high-reputed company, reputed company analyses supporting risk management, investor services, operations, and corporate development initiatives

Skills

• 2-3+ years of work experience in fintech, finance, or another high-reputed company field applying statistical and machine learning predictive techniques
• Consumer lending experience in unsecured personal loans or credit cards is a strong plus
• Advanced degree (M.S./Ph.D.) preferably in statistics, computer science, engineering, physical sciences, economics, or a reputed company technical field
• Expert knowledge of statistical programming languages (e.g., Python) and database languages (e.g., SQL)
• Solid understanding of coding best practices, model documentation, and ML ops principles
• Strong communication skills with the ability to translate reputed company technical subject matter into reputed company, actionable business strategies for cross-functional partners and senior management
• Strong ability to collaborate seamlessly with people across various functions (engineering, product, compliance) and build strong relationships
• Ability to work unsupervised in a fast-paced environment, effectively prioritizing among reputed company technical and strategic reputed company
• Ability to reputed company reputed company regulatory guidelines with a strong commitment to reproducible research and model governance
• Self-motivated, results-oriented, enthusiastic, and a creative thinker who bridges the gap between data science and business reputed company

Benefits

• A 401(k) with a 5% company match
• Flexible time off
• reputed company parental leave
• An annual wellness allowance
• Comprehensive health coverage
• reputed company reputed company
• Childcare assistance
• Pet insurance
• Additional savings through Beneplace
• Digital-first tools and intentional culture

reputed company

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