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AI Developer - Senior Manager - A&I - Financial Services - Consulting - NYC, NC, TX

Location : New York, Dallas, Charlotte
 
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.
 
The exceptional EY experience. It's yours to build.
 
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
 

Senior Manager – Financial Services – Analytics & Insights

EY is a leader in serving the global financial services marketplace and the only professional services firm with a separate business unit dedicated to the financial services industry – the Financial Services Organization (FSO). Our focused model and bold ambition have put us at the center of the events that continue to reshape and redefine our industry, working side by side with a range of clients from our most venerable institutions to dynamic new entrants across Banking and Capital Markets, Wealth and Asset Management and Insurance. Our purpose is to help build a financial services industry in which financial institutions are trusted and flourish, and the global economy is healthy, growing, and secure. If you have a passion for rallying together to solve complex challenges, then come join our dynamic FSO team!

 

The business problems our clients are facing today are not the same problems they have faced in the past. The rapid pace of development in AI and the technology that enables it has created an urgent need to innovate and adapt to the new global business paradigm. Financial institutions are looking to build smarter and more efficient ways to operate their business, create new revenue streams, and better manage risk, through new opportunities uncovered by their data. We believe that to fully unlock the potential of AI and advanced analytics we need to look not only at the application of AI, but also at the strategy level for how best to transform the enterprise into one that is technology and data focused and ready for the new age. Our clients’ problems are becoming increasingly complex while at the same time the need to automate and streamline is rising.

 

The opportunity

As a member of the Advanced Analytics team, we’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization - starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career. We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex issues, and drive cutting edge approaches across industry leading clients and domains. You will help our clients navigate the complex world of modern data science and analytics.

 

What to expect

You’ll be working with a newly created team in truly uncharted territory. You will apply your knowledge and experience to support the delivery of key projects, build valuable relationships both within EY and with clients, and develop strong capabilities through both formal training and working with senior mentors and talented colleagues.

You’ll spend most of your time working with a wide variety of clients to help with designing advanced analytics solutions, undertaking proof-of-concepts, and implementing these solutions to help clients to compete effectively in this dynamic environment.

 

Skills and attributes for success

· Fostering an innovative and inclusive team-oriented work environment

· Leading and coaching diverse teams of professionals with different backgrounds

· Providing subject matter expertise in defining technical and business approaches

· Building strong relationships with the clients and cultivating business opportunities

· Initiating and building thought leadership through white papers, point of views, and proof of concepts

· Working in an entrepreneurial environment to pave your own career path

 

To qualify for the role you must have

· A bachelor's or master’s degree

· Around 8 or more years of related work experience in banking, capital markets, insurance or asset management space

· Practical experience in leading and managing multi-disciplinary teams through a product life cycle – requirements, design, development and testing

· Demonstrated experience of technically leading and guiding a team of machine learning experts

· Strong machine learning and data structure design, development and architecture experience

· Ability to understand what adds value and proactively explore and identify new data sources and/or new machine learning techniques that could be helpful.

· Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, Machine Intelligence and/or Reinforcement Learning

· Strong understanding of data management and model evaluation and training techniques for Neural Networks.

· Strong understanding of classical ML techniques like KNN, Kmeans, PCA, GBM, SVM and regression

· Experience in one or more deep learning frameworks such as Pytorch, Torch, Caffe, Keras, or Tensorflow.

· Practical experience using the following tools and technologies:

o SAS, R, Python, SPSS, MapR, Flume, Hue, Impala, predictive analytics, machine learning, artificial intelligence

· Exceptional communication skills, both verbal and written, and desire to educate others about our ML models.

· Demonstrated ability to work across and influence different stakeholders within an organization.

· Passion for machine learning & data analysis. Demonstrated exploration of new techniques outside of day-to-day job duties.

· Strong analytical and problem-solving skills

· Prior experience in project management and client serving roles

· Ability to understand business challenges and translate them into value add analytics solutions

· Excellent leadership and teaming skills

· A willingness and ability to travel to meet client needs; travel is estimated at 80%-90%

· Valid passport

 

Ideally, you’ll also have

· A degree in computer science, engineering, accounting, finance or a related field; MBA or MS degree preferred

· Prior consulting experience

 

What we look for

We’re interested in self-motivated and passionate leaders with a strong vision and desire to stay on the cutting edge of data technology and science. We are looking for individuals who aspire to build collaborative team environments and possess effective management skills while demonstrating in-depth technical capabilities and industry knowledge.

If you have a genuine drive for helping consumers achieve the full potential of their data while working towards your own development, this role is for you!

 

 
What we offer
 
We offer a comprehensive compensation and benefits package where you’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 $176,500 to $403,000. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $211,800 to $458,000. 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 team-led and leader-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, you’ll decide how much vacation time you need based on your own personal circumstances. You’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 well-being.
 
  • Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
  • Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
 
EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
 
For those living in California, please click here for additional information.
 

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 EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.

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Average salary estimate

$289750 / YEARLY (est.)
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$176500K
$403000K

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What You Should Know About AI Developer - Senior Manager - A&I - Financial Services - Consulting - NYC, NC, TX, EY

As a Senior Manager AI Developer at EY, you'll embark on an exciting journey shaping the future of the financial services landscape through cutting-edge analytics and AI solutions. Based in locations like New York, Dallas, or Charlotte, this role is not just about leading innovative projects; it's about fostering an inclusive and dynamic environment where unique perspectives thrive. Your passion for solving complex challenges will shine as you collaborate with a diverse team, delivering advanced analytics solutions that empower clients to unlock the full potential of their data. Leading multi-disciplinary teams, you'll apply your deep expertise in machine learning, data architecture, and advanced analytics to help financial institutions navigate an increasingly complex world. You'll spearhead Proof of Concepts and develop strategies tailored to real-world business challenges, ensuring that operations not only innovate but also create new revenue streams. At EY, the culture is grounded in integrity and ethical standards, where your unique insights can drive thought leadership and new opportunities for growth. You’ll be coaching and mentoring talented professionals while expanding your professional network with industry-leading clients. So, if you're ready to make an impactful difference with a team that values your voice, join us at EY and become part of a movement to build a better world through data and technology.

Frequently Asked Questions (FAQs) for AI Developer - Senior Manager - A&I - Financial Services - Consulting - NYC, NC, TX Role at EY
What are the key responsibilities of an AI Developer - Senior Manager at EY?

As an AI Developer - Senior Manager at EY, your primary responsibilities will include leading the design and implementation of advanced analytics solutions for financial services clients, managing multi-disciplinary teams, and guiding the development of their data strategy. You'll be involved in client engagements, fostering relationships and leveraging your expertise to drive successful project outcomes. Your role will focus heavily on utilizing machine learning and data analytics to tackle complex business challenges, and you'll oversee the delivery of innovative Proof of Concepts that align with client needs.

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What qualifications are required for the AI Developer - Senior Manager role at EY?

To qualify as an AI Developer - Senior Manager at EY, you should have at least a bachelor’s or master’s degree, preferably in finance, computer science, or a related field. A minimum of 8 years of relevant experience in banking, capital markets, or asset management is essential. You'll also need strong technical skills in machine learning, data architecture, and deep learning frameworks. Additionally, demonstrated leadership experience in managing teams and client engagements will be highly regarded.

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Can you describe the work environment for the AI Developer - Senior Manager at EY?

The work environment for the AI Developer - Senior Manager at EY is collaborative and dynamic, fostering innovation and teamwork. You’ll be part of a newly created team focused on exploring uncharted territories within financial services. This role provides ample opportunities for growth and personal development through formal training and mentoring from senior professionals, creating a supportive backdrop for driving impactful projects in advanced analytics and AI.

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What opportunities for career growth exist for an AI Developer - Senior Manager at EY?

As an AI Developer - Senior Manager at EY, you'll experience significant career growth opportunities, involving client engagement, mentorship, and leading innovative projects. The role provides exposure to advanced techniques in data science, along with chances to pioneer new strategies in analytics across leading financial institutions. Additionally, you will expand your professional network and develop thought leadership through conducting workshops and publishing papers, all of which can accelerate your career trajectory.

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What skills are most important for success as an AI Developer - Senior Manager at EY?

Success as an AI Developer - Senior Manager at EY hinges on several key skills, including strong expertise in machine learning and data analytics, exceptional leadership and team management capabilities, and a solid understanding of business challenges within the financial services industry. Effective communication skills are also crucial, enabling you to explain complex concepts to stakeholders and clients. The ability to innovate, adapt to new technologies, and deliver impactful solutions will set you apart in this role.

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Common Interview Questions for AI Developer - Senior Manager - A&I - Financial Services - Consulting - NYC, NC, TX
How have you previously applied machine learning techniques to solve a business problem?

In your response, showcase a specific example where you implemented a machine learning solution, detailing the problem, your approach, and the outcome. Highlight your role in guiding a team through the project lifecycle and how the solution benefited the client.

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What leadership strategies do you employ when managing a diverse technical team?

Discuss your experience in fostering an inclusive environment. Highlight specific strategies like mentoring, encouraging open communication, and leveraging individual strengths to achieve project goals, showcasing how it has led to successful team outcomes.

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Can you explain your experience with advanced analytics and how it relates to financial services?

Provide examples of projects where you utilized advanced analytics to modify client strategies within financial services. Discuss the analytical tools and methodologies used and how the implementation created tangible benefits for the client.

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How do you stay current with emerging technologies in AI and data science?

Describe the resources, communities, or continuous learning initiatives you engage with to stay informed about advancements in AI and data science. This could include reading industry publications, attending conferences, or participating in relevant webinars or online courses.

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What role does collaboration play in your approach to delivering AI solutions?

Emphasize the importance of cross-functional collaboration and how it enhances your project outcomes. Share an example where teamwork led to innovative solutions or how combining different perspectives enriched the client’s results.

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Describe a time when you faced a significant challenge during a project. How did you overcome it?

Narrate a specific situation where obstacles arose, emphasizing your problem-solving approach, teamwork, and determination. Highlight the steps you took and the eventual success achieved, detailing what you learned from the experience.

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How do you assess the effectiveness of machine learning models?

Explain the key metrics and techniques you utilize to evaluate model effectiveness, such as precision, recall, or F1 score. Give a concrete example from past experiences where you successfully evaluated or improved a machine learning model.

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What types of business challenges do you find most compelling to address through AI?

Share your perspective on the evolving business landscape and how specific challenges such as risk management, customer personalization, or operational efficiency excite you. Discuss how you would approach developing AI solutions to tackle those challenges.

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How do you communicate complex AI concepts to non-technical stakeholders?

Illustrate strategies you employ for effective communication, such as using analogies, simplified visuals, or outcome-focused discussions. Include a specific instance of how you successfully explained an AI solution to gain stakeholder buy-in.

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What is your approach to developing a data-driven strategy for clients?

Outline your process for analyzing a client's current capabilities and areas for improvement, leading to formulating a data-driven strategy. Include examples where you helped clients adopt analytics and AI successfully.

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Full-time, hybrid
DATE POSTED
April 4, 2025

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