Demo

Data Scientist

Artisan Partners
Denver, CO Full Time
POSTED ON 1/16/2025
AVAILABLE BEFORE 4/17/2025

Our success as an active investment manager is predicated on protecting differentiated thinking and fostering creative perspectives. Intellectual and cognitive diversity are key components of Who We Are, and critical to the success of our business model, our autonomous investment teams and investment outcomes. We hire bright and talented individuals and place them in an environment that allows them to be exceptional.

We seek to recruit and hire outstanding people at all levels and in all functions, who thrive in broad roles and want to maximize their potential. We seek people who are self-motivated to develop their careers and add value for our clients, the firm and one another. We recognize talent exists everywhere, and we are dedicated to identifying and advancing the best talent that will thrive within our business model across all dimensions of diversity.

We strive to be the ideal home for top talent.

Please review our current opportunities below. If you are interested in any open roles, we’d love to hear from you!

Artisan Partners seeks a highly motivated, intellectually curious individual to fill a Data Scientist position on the Credit investment team. The investment team, led by portfolio manager Bryan Krug, is dedicated to deep fundamental credit research which serves as a foundation to the team’s high conviction investment process. The ideal candidate understands the unique culture of a talent-based firm and succeeds in a fast-paced, dynamic environment.

Salary Range : $125,000 - $200,000

Specific placement within the provided range will be determined by an individual’s geographic location as well as relevant experience and skills for the role. Base salary is only one component of our total compensation package. Associates may be eligible for a discretionary bonus, which is determined upon Firm and individual performance.

Responsibilities

The candidate can expect to :

  • Collaborate closely with the credit team to support their analytical needs
  • Drive platform advancement and innovation
  • Utilize large datasets to assist credit analysts in a bottom-up investment approach
  • Leverage both public and paid data sources for analysis
  • Engage in web scraping to gather relevant data
  • Automate repetitive tasks to improve efficiency
  • Work across all sectors to provide comprehensive data insights
  • Apply statistical and machine learning techniques to analyze data, back test, and find correlations
  • Present findings and insights effectively to internal teams and external stakeholders, including clients and potential clients

Qualifications

The successful candidate will possess strong analytical skills and attention to detail. Additionally, the ideal candidate will possess :

  • Proficiency in R, Python, SQL, and Snowflake
  • Strong technical skills and analytical problem-solving abilities
  • Experience with large datasets and data manipulation
  • Knowledge of web scraping techniques
  • Ability to automate tasks using appropriate tools and technologies
  • Excellent communication and teamwork skills
  • Understanding of the financial implications of data analysis, in addition to technical aspects
  • Strong presentation skills to effectively communicate findings
  • Experience with statistical and machine learning techniques
  • Adept at utilizing APIs for data extraction and integration
  • A solid understanding of finance, accounting, credit, and derivative instruments (financial statements, credit risk assessment, and the use of derivatives for hedging and investment purposes) preferred
  • Proven experience in presenting complex data and insights to both internal teams and external stakeholders, including clients and potential clients, tailoring presentations to different audiences ensuring clarity and impact preferred
  • Artisan Partners Limited Partnership is an equal opportunity employer. Artisan Partners does not discriminate on the basis of race, religion, color, national origin, gender, age, disability, marital status, sexual orientation or any other characteristic protected under applicable law. All employment decisions are made on the basis of qualifications, merit and business need.

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    Salary : $125,000 - $200,000

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