1

Cfa Data Science Jobs in New York (NOW HIRING)

Sr. Product Owner Syndicate Loans

Manhattan, NY ยท On-site

$130K - $150K/yr

... Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20 ... Advanced Finance degree or CFA Level 1 charter holder. * Familiarity with dealing platforms and ...

Showing results 41-60

Cfa Data Science information

What is a CFA Data Science?

A CFA Data Science job combines financial analysis with data science techniques to evaluate investments, manage risks, and optimize portfolio strategies. Professionals in this role use statistical modeling, machine learning, and programming languages like Python or R to analyze large financial datasets. They may work in asset management, investment banking, or financial consulting, using data-driven insights to support decision-making. This role requires both CFA-related knowledge in financial markets and strong technical skills in data analysis.

What are the key skills and qualifications needed to thrive in the CFA Data Science position?

Excelling as a Cfa Data Science professional requires a strong background in quantitative analysis, financial modeling, and data science, often supported by a CFA designation and a degree in statistics, finance, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization software, as well as experience with financial data platforms, is typically expected. Strong analytical thinking, attention to detail, and effective communication skills are valuable soft skills that set candidates apart. These abilities are critical for transforming complex financial data into insights that drive informed investment decisions and strategic business outcomes.

What are the main challenges faced by professionals in CFA Data Science roles?

Professionals in Cfa Data Science roles often deal with the complexity of integrating large volumes of financial data from various sources and ensuring its accuracy for analysis. Staying up to date with rapidly evolving financial regulations and emerging data science techniques can also present ongoing challenges. Additionally, translating technical analyses into clear, actionable insights for stakeholders who may not have a technical background requires strong communication skills. Overcoming these challenges is essential for successfully impacting investment strategies and business performance.

What are the most commonly searched types of Cfa Data Science jobs in New York?

The most popular types of Cfa Data Science jobs in New York are:

What cities in New York are hiring for Cfa Data Science jobs?

Cities in New York with the most Cfa Data Science job openings:

Infographic showing various Cfa Data Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

EY-Parthenon - Deals - Transaction Analytics - Director

Ernst & Young Advisory Services Sdn Bhd

Manhattan, NY โ€ข On-site

$120.40 - $220.70/hr

Other

Medical, Dental, Retirement, PTO

Posted 28 days ago


Job description

Location: New York, Boston, Chicago, San Francisco, San Jose, Los Angeles, and Dallas

At EY, weโ€™re all in to shape your future with confidence.

Weโ€™ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

EY-Parthenonโ€™s unique combination of transformative strategy, transactions and corporate finance delivers real-world value โ€“ solutions that work in practice, not just on paper. Benefiting from EYโ€™s full spectrum of services, weโ€™ve reimagined strategic consulting to work in a world of increasing complexity.

With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way โ€“ enabling you to shape your future with confidence.

Your key responsibilities
  • Lead data analytics projects to advise clients on financial and commercial issues, M&A transactions, and value creation opportunities for corporate clients and private equity portfolio companies.
  • Guide teams in executing descriptive and predictive analytics, transforming data into actionable insights.
  • Contribute to practice development and business growth through client meetings, presentations, and new business pursuits.
  • Support the career development of junior staff through mentorship.
  • Drive innovation by applying advanced analytical techniques and staying updated on sector trends.
  • Build and maintain strong client relationships, providing strategic insights and solutions.
Skills and attributes for success
  • Project Management: Manage cross-functional project teams for successful execution.
  • Commercially Driven: Apply strong business acumen coupled with technical knowledge/skills in a fast-paced, client-focused environment.
  • Technical Proficiency: Expertise in tools like Alteryx, Snowflake, Databricks, Power BI and Excel. Proficiency in SQL and Python. Further, experience and interest to leverage cuttingโ€‘edge technologies, including AI, to drive thoughtful and thoughtโ€‘provoking business outcomes.
  • Business Development: Assist in client acquisition and practice growth efforts.
  • People Development: Mentor and guide junior team members.
  • Innovation: Leverage cuttingโ€‘edge data analytics techniques to deliver insights.
  • Relationship Building: Establish strong relationships with clients, offering dataโ€‘driven recommendations.
To qualify for the role, you must have
  • A bachelor's degree in Business Analytics, Finance, Economics, Statistics, Data Science, or a related field and 5 years of related work experience; or a graduate degree and approximately 4 years of related work experience.
  • Strong analytical skills with experience in data wrangling, transformation, and analysis (both descriptive and predictive).
  • Proficiency in relational databases and data models.
  • Experience in diverse industries (e.g., TMT, Healthcare, Retail) and functional areas (e.g., corporate finance, supply chain).
  • Strong communication skills with the ability to present complex data to varied audiences.
  • You must either reside in or be in a commutable distance to your office location for this position.
  • The ability and willingness to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs.
Ideally, you will have
  • Masterโ€™s degree, and/or CPA or CFA license.
  • M&A experience and financial statement analysis.
  • Experience with advanced analytical methods (e.g., statistical pricing studies, customer lifetime value, customer retention).
  • Experience with analytics and data tools (e.g., Alteryx, Snowflake, Databricks, Power BI, Python, SQL).
  • Knowledge of how to leverage firmโ€‘approved AI tools in a business setting, including Microsoft Copilot.
  • Experience with leveraging AI, namely LLMs, including prompt engineering, AI agents, etc.
  • Interest in working with alternative data to analyze competitive positioning.
What we look for

We're interested in talented professionals with the ability to visualize our clients' goals and think creatively to facilitate them. If you have an entrepreneurial spirit, and a genuine passion for taking on new challenges, this role is for you.

What we offer you
  • We offer a comprehensive compensation and benefits package where youโ€™ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $120,400 to $220,700. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $144,500 to $250,900. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  • Join us in our teamโ€‘led and leaderโ€‘enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
  • Under our flexible vacation policy, youโ€™ll decide how much vacation time you need based on your own personal circumstances. Youโ€™ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional wellโ€‘being.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EYโ€™s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.

#J-18808-Ljbffr