What are the responsibilities and job description for the Sr. Associate, Quant & Data Science position at NorthMark Strategies?
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
