Senior Quantitative Analyst

Design, develop, implement, maintain, and execute complex financial models for loss forecasting, scenario and stress testing, originations and collections, pricing, and portfolio optimization Manage and contribute to large projects supporting complex financial models across the loan and deposit product lifecycle Develop quantitative tools for pricing, profitability, and product strategy Act as an individual contributor and lead working groups Use Python or R for data consumption, aggregation, analysis, and model development Use Power BI to develop portfolio analytics and communicate with business and operations partners Identify partner needs and develop requirements Work with Model Owners to satisfy independent reviewers, auditors, validators, and regulators Research, design, and implement new financial products and portfolio strategies Evaluate model output and articulate results to stakeholders and senior management Develop data environments supporting quantitative activities Review academic and industry research, present summaries, and suggest practical applications Ensure compliance with company policies and federal/state regulations Requirements Bachelor's degree in physics, mathematics, statistics, economics, or another quantitative discipline Master's degree in a related quantitative discipline is also listed 3–5 years of experience in a financial institution or consulting organization 6–8 years of experience in a financial institution or consulting organization is listed Experience programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia Extensive subject matter expertise may relax experience requirements in operational risk, market risk, machine learning, artificial intelligence, stress testing, or third-party vendor models CFA Charterholder certification from the CFA Institute or pursuit thereof Financial Risk Manager (FRM) certification from GARP or pursuit thereof preferred Ability to establish effective working relationships and participate in problem-solving and decision-making Ability to present ideas and information clearly and concisely Ability to actively listen and facilitate information exchange Ability to plan work, track progress, and use time and information effectively Ability to make sound decisions using analytical judgment Ability to comply with company policies, procedures, and federal/state regulations Core Competencies Demonstrates expertise in developing and implementing complex financial models using Python or R, with a strong focus on loss forecasting, scenario testing, and portfolio optimization. Possesses the ability to communicate effectively with stakeholders and ensure compliance with regulatory standards. Highest-signal resume keywords Financial Modeling Python Programming R Programming Power BI CFA Charterholder ATS Optimization Keywords Hard Skills Financial Modeling Python Programming R Programming SQL SAS Java C+ C++ Julia Quantitative Analysis Soft Skills Effective Communication Problem-Solving Decision-Making Active Listening Relationship Building Certifications & Qualifications CFA Charterholder Financial Risk Manager (FRM) Industry Keywords Financial Risk Operational Risk Market Risk Stress Testing Portfolio Optimization Regulatory Compliance Tools & Technologies Power BI Data Environments Quantitative Tools #J-18808-Ljbffr