Data Scientist (NYC Private Equity ) - J Harlan Group, LLC

Data Scientist

NYC Private Equity - Investment Management Firm

J Harlan Group is currently conducting a search for an experienced and highly motivated Data Scientist, at a prominent NYC Private Equity - Investment Manager.

An exciting opportunity to join this fast-growing and dynamic investment organization that is experiencing exceptional growth!

The Data Scientist will play a critical role in driving data-driven decision-making across the firm’s investment strategies, portfolio management, and risk platform.

The ideal candidate will bring extensive experience in data science, investment management/strategies and an understanding of portfolio management & risk management.

Key Responsibilities:

Working in a Hybrid work environment:

• You will work closely with verticals, business intelligence analysts, data engineers, and other stakeholders to design, develop and deploy data-driven solutions that drive investment decisions and facilitate improved operational outcome at their portfolio companies.
• You will have the opportunity to bring your ideas to life by building on a foundation of strong internal support, clear vision, engaged users and bright, kind teammates.
  

• Analytical Insights: Conduct in-depth analysis of internal or portfolio company data for deep understanding of underlying linear (and non-linear) dynamical structures.
• Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues.
• Risk Analysis and Management: Work closely risk team to develop and apply data-driven risk models
• ML Ops: Collaborate with data engineers and engineers to design and implement data pipelines, design infrastructure, and enable continuous delivery of high-performing models in production.
• Product Management: Work with vertical teams and portfolio company users to identify and concisely describe issues to solve, and subsequently translate and document these in terms of scope and functional requirements.
• Collaboration and Communication: Work closely with cross-functional teams, enabling clear communication and broad understanding of models applied and interpretation of results.
• Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis.
  

The ideal candidate would have a background including:

• Minimum of 3-7 years of experience in Data Science, preferably with experience with the analysis or application of data in finance or economics – specific experience with real assets a plus!
• Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models
• Strong programming skills in Python (or R or Julia) and SQL
• Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.)
• Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) – and associated ML platforms (e.g., SageMaker, Vertex)
• Working knowledge bringing models to production
• Experience with data modeling, data warehousing, and ELT processes
• Strong analytical, strategic thinking, and problem-solving skills.
• Excellent communication and interpersonal skills, with the ability to interact effectively with senior management and external stakeholders.
  

Nice to Have:

• Monte Carlo Simulation: Experience building Monte Carlo models for time series simulation; experience with VAR or similar a plus.
• Domain Expertise: Experience with the analysis or application of data in finance or economics – specific experience with real assets a plus
  

Education:

• Strong academic record and a bachelor’s or higher degree in relevant STEM field (e.g., Physics, Mathematics, Data Science, Computer Science).

An individual who loves working with deep and complex financial problems and wants to have an outsized impact with the products and solutions they deliver. An individual with a passion for data science, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services.

About the Client:

The firm is a leading investment manager and private equity firm specializing in the acquisition of transportation equipment and asset operating platforms in the infrastructure sector. The firm targets real asset investment opportunities that are cash yielding with downside protection, and benefit from a team with deep, longstanding relationships and financial and operating expertise. Today, the firm manages over $9bn of assets globally across rail, intermodal, aviation, and emerging technology strategies with office locations in NYC, Chicago and St. Louis.

They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of financial markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm’s senior partners in a highly collaborative and charged investment environment.

Successful candidates are:

• Analytic and relentless in pursuit of the right answer
• Strong communicators who excel at rapid synthesis
• Able to demonstrate sound business judgment
• Able to digest complexity while maintaining an understanding of the “big picture” of business needs
• Team players who are energized by a collaborative enterprise
  

The firm’s employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients.

The estimated salary range is $135,000-$215,000. Employees may also be eligible for an annual discretionary incentive compensation award. Actual base salary may vary based upon, but not limited to relevant skills, experience, qualifications, and geographic location.