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Senior Associate, Quant & Data Science

Job in Stamford, Fairfield County, Connecticut, 06925, USA
Listing for: NorthMark Strategies LLC
Full Time, Part Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Science Manager, AI Engineer
Job Description & How to Apply Below
Senior associate, quant & data science page is loaded## senior associate, quant & data science locations:
stamford, cttime type:
full time posted on:
posted 3 days agojob requisition :
r12715
** the company:
** northmark strategies is a leading investment firm, combining capital, innovation, and engineering to drive long-term value. From operating complex businesses to backing breakthrough technologies, our mission is to build enduring businesses. Our team combines intelligent risk-taking, operational excellence, exceptional talent, and world-class computing capacity to create shareholder value.our company offers a dynamic environment where individuals have the freedom to lead companies toward bold achievements by embracing innovation, leveraging technology, and fostering differentiated business strategies.

Our values are integrity, ability, and energy, and the company aims to hire individuals who possess those qualities.at northmark strategies, we believe the future isn’t something to hope for, it’s something to build. We don’t just invest, we create. Bringing together strategic insight and technical horsepower to deliver outcomes that endure.
** position overview
** we are seeking a highly analytical and detail-oriented
** senior associate, quant & data science
** to join our portfolio analytics group. Data is at the heart of our business, and we see the ability to embed data-driven insight into the fabric of daily management as a core driver of competitive advantage for the firm. As a quantitative / data science focused senior associate, you will be at the forefront of facilitating data-driven decision making across the business.
** key responsibilities:
*** develop and automate valuation and return calculations for a global multi-asset class portfolio
* support the development of performance attribution frameworks to identify drivers of performance within and across various asset class portfolios
* develop, enhance, and maintain quantitative models and risk management tools to measure and manage market, portfolio, and liquidity risks across both liquid and illiquid asset classes
* provide technical competence in translating excel-based models into programmatic solutions
* be a motivated self-starter eager to understand performance analysis in disparate asset classes and develop programmatic solutions that drive toward a coordinated view of performance across our global enterprise
** requirements:
*** practical experience in a finance-oriented qualitative setting in a fast-paced, dynamic environment
* ability to dissect ambiguous problems and determine the appropriate analytical techniques to apply
* high proficiency in data extraction, data cleansing, and quantitative analysis
* experience with quantitative & data science for creating models
* strong academic credentials with a degree in a quantitative field
* experience with python is required and other languages are a plus
* experience with pandas, numpy, scipy, scikit, matplotlib, etc.
* experience in financial / investment analysis is required
* it is impossible to list every requirement for, or responsibility of, any position.  Similarly, we cannot identify all the skills a position may require since job responsibilities and the company’s needs may change over time.  Therefore, the above job description is not comprehensive or exhaustive.  The company reserves the right to adjust, add to or eliminate any aspect of the above description.  

The company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.
*** must be legally authorized to work in the united states without the need for employer sponsorship, now or at any time in the future.
**** benefits & perks:**
* ** hybrid-work schedule**: we provide a hybrid working schedule with 3 days a week in the office
* ** company-paid lunch stipend**: lunch is provided via grubhub
* ** company-paid benefits:
** 100% employer-paid medical in our high deductible health plan, dental and vision benefits for employees and their families, 16 weeks of paid parental leave, employee assistance program, life insurance, short-term disability…
Position Requirements
10+ Years work experience
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