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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong software engineering skills with a focus on developing scalable automated workflows and analytical tools for portfolio management. Proficient in translating complex investment problems into effective technical solutions while collaborating with diverse teams.
Highest-signal resume keywords
Software Engineering SkillsPython ProgrammingPortfolio Management KnowledgeAnalytical Tool DevelopmentAI and Emerging Technologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentAutomated WorkflowsAPIsData-Driven SolutionsQuantitative AnalysisPortfolio AnalyticsProblem DefinitionImplementationTechnical Solution DesignScalable Applications
Soft Skills
Effective CommunicationCollaborationAnalytical AbilityStakeholder EngagementAdaptability
Certifications & Qualifications
CFA Designation
Industry Keywords
Investment ManagementPortfolio ConstructionFinancial TechnologyQuantitative DisciplineEmerging Technologies
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Build and evolve technology and scalable processes for a growing, increasingly customized model portfolio business
- Develop software, analytics, monitoring capabilities, and automated workflows across portfolio monitoring, customization, rebalancing, implementation, controls, and issue identification
- Participate directly in portfolio monitoring, rebalancing, implementation, and other investment processes
- Translate portfolio-management workflows into robust, scalable technical solutions with portfolio managers and engineering teams
- Design quantitative and AI-enabled tools and workflows to improve portfolio decision-making and automate repetitive work
- Reduce operational risk and enable portfolio managers to focus on higher-value investment decisions
- Own technical solutions from problem definition and prototyping through implementation, adoption, enhancement, and support
- Collaborate with investment, engineering, strategy, infrastructure, operations, and distribution teams
- Evaluate emerging technologies and prototype approaches to inform the team’s technical strategy
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, a quantitative discipline, or equivalent practical experience
- Strong software engineering skills
- Experience using Python or comparable programming languages
- Experience building reliable, reusable applications, analytical tools, APIs, data-driven solutions, or scalable automated workflows
- Knowledge of investment management, portfolio construction, portfolio analytics, financial technology, or another quantitatively oriented domain
- Strong analytical ability to work with portfolio holdings, allocations, investment data, and large datasets
- Ability to translate ambiguous business or investment problems into well-designed technical solutions and take them through implementation and ongoing improvement
- Interest in applying AI and emerging technologies to real investment-management workflows
- Ability to work effectively with technical and non-technical stakeholders
- Ability to clearly communicate complex investment and technology concepts
- Strong interest in portfolio management and technology
- Ability and willingness to develop expertise across investment and software engineering disciplines
- CFA designation or progress toward the designation is beneficial but not required
Benefits
Comp & perks- Annual discretionary bonus
- Healthcare
- Leave benefits
- Retirement benefits
- Strong retirement plan
- Tuition reimbursement
- Comprehensive healthcare
- Support for working parents
- Flexible Time Off (FTO)
- Hybrid work model with flexibility to work from home 1 day a week
- Benefits and development opportunities
- Reasonable accommodations or job modifications for individuals with disabilities