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Cadence Decision Tree Jobs (NOW HIRING)

Altera

Timing Engineer

San Jose, CA

$118K - $172K/yr

... as Cadence Tempus and Synopsys PrimeTime. * 5+ years of experience developing automation and ... Familiarity with clock tree synthesis (CTS), clock planning, and clock architecture optimization.

Altera Corporation

Timing Engineer

San Jose, CA · On-site

$118K - $172K/yr

... as Cadence Tempus and Synopsys PrimeTime. * 5+ years of experience developing automation and ... Familiarity with clock tree synthesis (CTS), clock planning, and clock architecture optimization.

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How much do cadence decision tree jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for cadence decision tree in the United States is $29.17, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $33.17 per hour, depending on experience, location, and employer.

What are some common challenges faced when working with Cadence Decision Trees, and how can I prepare for them?

Professionals working with Cadence Decision Trees often encounter challenges related to managing complex datasets and ensuring the accuracy of branching logic. You may also need to collaborate closely with data scientists and engineers to validate decision paths and optimize performance. Preparing by honing your analytical skills, learning best practices for model validation, and staying current with Cadence software updates will help you navigate these challenges effectively. Being proactive in communication and documentation can also streamline teamwork and project delivery.

What is the difference between Cadence Decision Tree vs Cadence Digital Design Engineer?

AspectCadence Decision TreeCadence Digital Design Engineer
Required CredentialsBachelor's in Electrical Engineering or related field; experience with decision tree algorithmsBachelor's or higher in Electrical Engineering or Computer Engineering; knowledge of digital design tools
Work EnvironmentData analysis, algorithm development, software toolsDesign, simulation, and verification of digital circuits
Industry UsageData analytics, AI, machine learning applicationsASIC/FPGA design, digital system development

Cadence Decision Tree specialists focus on developing and implementing decision tree algorithms for data analysis and AI applications, often working in software and data environments. In contrast, Cadence Digital Design Engineers are involved in designing and verifying digital circuits for hardware products. While both roles require a strong technical background, their work environments and industry applications differ significantly.

What is a Cadence Decision Tree?

A Cadence Decision Tree is a structured workflow tool used in sales, marketing, or customer support to guide teams through a series of actions or communications based on customer responses or behaviors. It helps automate decision-making by mapping out potential scenarios, ensuring consistent and timely follow-ups. This approach is often used to optimize outreach cadences, such as email or call sequences, by providing clear next steps depending on how a lead or customer engages. Cadence Decision Trees can improve efficiency, increase conversion rates, and provide a better customer experience. They are commonly implemented within CRM or sales engagement platforms.

What are the key skills and qualifications needed to thrive as a decision tree analyst using Cadence, and why are they important?

To thrive as a Decision Tree Analyst using Cadence, you need a solid background in data analysis, statistics, and decision modeling, often supported by a degree in mathematics, statistics, or computer science. Expertise in decision tree software, data visualization tools, and possibly experience with Cadence simulation platforms or similar analytics systems is highly beneficial. Critical thinking, problem-solving, and strong communication skills set outstanding analysts apart when interpreting results and advising stakeholders. These skills ensure accurate, actionable insights that drive effective business decisions and process improvements.
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Cadence Decision Tree jobs near you
Infographic showing various Cadence Decision Tree job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 70% In-person, 15% Hybrid, and 15% Remote job distribution, with an average salary of $60,675 per year, or $29.2 per hour.

Wealth Management, Quantitative Portfolio Manager, Equities CIO

JPMorgan Chase & Co

Manhattan, NY • On-site

Full-time

Medical, Retirement

Re-posted yesterday

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 494 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

As a Quantitative Portfolio Manager (Executive Director) within Wealth Management's Chief Investment Office (CIO) - Equities team, you will be a senior leader in a growing, innovative Equity Portfolio Management organization, reporting to the Head of Equities. You will set the quantitative research agenda, own core portfolio analytics and risk frameworks, and drive implementation of systematic, factor-based and data-driven insights for an $80bn equity portfolio benchmarked against MSCI World.

This role requires deep expertise in equity factor research, portfolio construction, and risk management-combined with the credibility to influence other senior portfolio managers and fundamental analysts. You will translate complex quantitative work into investment decisions, elevate the team's analytical capabilities, and serve as a thought partner to CIO leadership on process, tooling, governance, and portfolio outcomes.

Responsibilities

  • Quantitative leadership & investment partnership
    • Act as the senior quantitative partner to the equity team, influencing security selection overlays, factor tilts, risk budgeting, and implementation choices across regional and global mandates.
    • Lead the integration of quantitative signals with fundamental views, ensuring a repeatable, well-governed investment process.
  • Risk model ownership & portfolio risk governance
    • Own the application and interpretation of multi-factor risk models (e.g., Axioma and/or equivalent) to monitor exposures, crowding, concentration, liquidity considerations, and scenario sensitivities.
    • Establish escalation frameworks and decision support for material risks; contribute to portfolio review cadence and senior risk discussions.
  • Portfolio construction, optimization & attribution
    • Design and improve portfolio construction frameworks including constraints, turnover control, transaction cost awareness, and rebalancing discipline.
    • Lead performance attribution and factor decomposition to diagnose drivers of returns, active risk, and drawdowns; turn findings into actionable portfolio recommendations.
  • Data, engineering & advanced analytics
    • Drive development of scalable research and analytics tooling (Python-first), including data pipelines, reusable libraries, and standardized reporting for PM workflows.
    • Evaluate and apply machine learning/AI techniques where appropriate (feature engineering, ensemble methods, NLP for alternative data), with emphasis on interpretability and investment relevance.
  • Stakeholder management & communication
    • Communicate complex quantitative concepts clearly to senior investment professionals; deliver crisp trade-offs and recommendations rather than "model outputs."
    • Partner with technology, data, risk, compliance, and control stakeholders to ensure model governance and appropriate use.
  • Controls & compliance

    • Maintain a consistent focus on risk management, model governance, suitability, and adherence to applicable policies and controls.

Required Responsibilities, Capabilities and Skills:

  • 12+ years of experience in quantitative investing, equity research, portfolio construction, or risk analytics (buy-side preferred), with demonstrated impact on portfolio outcomes (alpha, risk-adjusted returns, drawdown control, implementation efficiency).
  • Deep understanding of equity markets, factor investing, risk modeling, and portfolio construction under real-world constraints (turnover, costs, liquidity, client guidelines).
  • Proven experience owning or heavily influencing risk model usage (Axioma or similar), exposure management, scenario analysis, and attribution.
  • Advanced programming capability in Python, including strong applied experience with data analysis libraries (Pandas, NumPy, SciPy, stats/ML stack) and production-quality research practices (version control, testing, code review).
  • Solid grounding in statistics/econometrics and familiarity with ML techniques appropriate for investment contexts (regularization, tree-based methods, cross-validation, time-series pitfalls).

  • Bachelor's degree required; 

Preferred Responsibilities, Capabilities and Skills:

  • Master's/PhD in a quantitative discipline (Math, CS, Engineering, Statistics, Financial Engineering, etc.) strongly preferred.
  • CFA progress or designation is a plus (not required), particularly where it strengthens investment judgement and communication with fundamental stakeholders.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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