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① Introduction: Entering the World of $300,000+ Annual Income
Hello, this is TJ, CEO of Alpha Advisors!
By establishing your career in global investment banking or hedge funds, achieving an annual income exceeding $300,000 (approximately 45 million yen) becomes a realistic goal. At global financial powerhouses like Goldman Sachs, BlackRock, Citadel, Point72, and Jane Street, first-year compensation packages of $200,000-$300,000 are not uncommon, with many professionals earning over $500,000 within just a few years.
However, reaching this high-compensation world requires more than just "academic credentials" or "work experience." What's demanded is advanced expertise adapted to current trends (finance, data science, AI/machine learning) and a master's degree from a top university that validates these skills. Companies aren't simply looking for "smart people" but rather "professionals with immediately applicable advanced skills."
In this article, I'll thoroughly explain the "fastest route" to achieving $300,000+ annual income by examining the master's programs currently attracting attention (MBA, Financial Engineering, Data Science, etc.) along with the latest employment results and salary data. This information is essential for university seniors as well as working professionals in their 20s-40s seeking career advancement or job changes.
At Alpha Advisors, we've guided 200-300+ individuals annually to acceptance into world-class graduate schools and MBA programs. Our acceptance record includes numerous prestigious institutions such as Harvard, Stanford, Chicago Booth, Wharton, Columbia, NYU, LBS, Cambridge, and Oxford. Furthermore, we support post-graduation job placement at top global companies including Goldman Sachs, Morgan Stanley, Bank of America, Mitsubishi Corporation, Itochu Corporation, McKinsey, BCG, Bain, Google, and Amazon. We boast Japan's leading placement record particularly in the most competitive industries: global financial institutions, international consulting firms, trading companies, and major tech corporations.
We have extensive knowledge about pathways into investment banking and hedge funds, including which MBA/graduate programs are most effective. If you're aiming for career advancement, schedule a free consultation with Alpha now!
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② What Kind of Talent Do Global Financial Institutions and Hedge Funds Seek?
Global financial institutions and hedge funds are truly seeking professionals with hybrid "finance × technology" skills. Among the most representative roles are Quants and Traders who interpret markets using data and algorithms.
The skills they require are clearly defined, with the following advanced expertise as prerequisites:
・Programming capabilities using Python and C++
・Mathematical knowledge including statistical mathematics, probability theory, and linear algebra
・Model building and optimization techniques using AI/machine learning
・Understanding of macroeconomics, financial markets, and risk management
The traditional approach of studying business theory through MBA case studies alone is insufficient. What's valued in the field is "analytical and development capabilities that generate revenue," with master's programs in data science, financial engineering, and computer science (CS) receiving overwhelming recognition. Professionals with these skills are valued as "immediately effective assets" even at top firms offering $300,000+ annual incomes and are sought after in global recruitment competitions.
③ Major Career Paths That Make $300,000+ Annual Income a Reality
A career with an annual income exceeding $300,000 is certainly not a fantasy. Many graduates from top graduate schools who enter global financial institutions and funds have dramatically increased their income through the following routes:
○ MBA → Investment Banking (IBD) or PE/VC Funds
・Career path targeted by graduates from Wharton, Chicago Booth, Columbia, and other top MBA programs
・Starting salaries exceed $200,000, with $500,000+ in your 30s not uncommon
・Strategic thinking, finance knowledge, M&A expertise, plus leadership skills are highly valued
○ Data Science/Financial Engineering → Quant or Trader
・Master's graduates from Carnegie Mellon, MIT, Columbia, etc. realistically receive offers exceeding $300,000
・Regardless of age, compensation is unlimited with the right skills. Performance-based bonuses can increase explosively
・One of the few career paths where you can work at the forefront of "meritocracy × global markets"
○ Representative High-Income Companies
・Goldman Sachs
・BlackRock
・Citadel
・Point72
・Jane Street
・Millennium Management
These companies are major destinations for top school graduates and quant talent. When aiming for $300,000+ annual income, "which graduate school to attend to enter these companies?" becomes the starting point of your strategic planning. In the next chapter, I'll explain recommended programs in detail!
1. MBA (Programs Strong in Finance/Analytics)
Chicago Booth MBA
https://www.chicagobooth.edu/
Chicago Booth features a highly flexible curriculum with only leadership development (LEAD) as a required course, allowing students to select courses based on their interests. Particularly renowned for its finance education, the "Analytic Finance" concentration teaches advanced analytical methods used in hedge funds and investment banks, along with quantitative tools for analyzing complex financial data. Graduates find employment not only in investment banking and private equity, but also in consulting and technology companies, with McKinsey (71 hires in recent years) leading the list, followed by Amazon, Bain, BCG, and Goldman Sachs as major destinations. The salary level for MBA graduates is exceptionally high, with the median base salary reaching approximately $180,000 for 2023 graduates, placing it among the top compensation levels for MBA programs.
MIT Sloan MBA
MIT Sloan's MBA is known for its analytical and data-focused education. Three specialized tracks are offered for MBA students, including the Finance Track and Entrepreneurship & Innovation Track, with the additional option of obtaining a Business Analytics Certificate open to all graduate students. Students study required core subjects (data analysis, financial accounting, etc.) in their first year, then customize their curriculum through electives. Graduate destinations are diverse but primarily include consulting firms, financial institutions, and technology companies, with recent significant hiring from the top consulting trio of McKinsey, Bain, and BCG (20+ each) and Amazon. The median salary for MBA graduates reaches approximately $170,000 (with $30,000 signing bonuses), consistently maintaining the high standards expected of a top-tier program.
Wharton MBA, The University of Pennsylvania
Wharton MBA is traditionally a global leader in finance education, offering extensive finance-related and data analysis courses. Students can choose majors during their MBA, with Finance and Business Analytics majors allowing them to study everything from financial theory to fintech. About 37% of graduates enter the financial industry (investment banking, private equity, hedge funds, etc.), with others joining technology (17%) and consulting (14%). Major employers include investment banks like Goldman Sachs and Morgan Stanley, as well as major consulting firms like McKinsey, with an employment rate exceeding 97% within three months of graduation. The median salary in recent years is around $175,000, with a median signing bonus of $30,000.
Stanford Graduate School of Business MBA
Stanford Graduate School of Business (GSB) MBA excels in both entrepreneurial spirit and data analysis. Core courses include "Data and Decisions," while electives cover fintech and AI-related subjects. Graduate destinations are primarily split between technology and finance industries, with 2023 graduates seeing 38% entering finance (including 18% private equity and 13% venture capital) and 24% joining the high-tech industry. Stanford MBA has a unique entrepreneurial culture, with approximately one in four students engaged in entrepreneurial projects at graduation. Major employers include Silicon Valley tech companies (Google, Apple), investment funds (VCs like Sequoia Capital and PE firms like Blackstone), and top strategy consultancies, with reported average salaries of $189,000 and median of $182,500. Financial positions command particularly high compensation, with the median base salary for finance industry graduates reaching $200,000.
Columbia Business School MBA
https://academics.business.columbia.edu/mba
Columbia MBA leverages its New York location to offer a curriculum combining traditional finance education with cutting-edge data analysis. While rich in advanced finance courses for investment banking and asset management, students can also take "Business Analytics" courses for data-driven decision making. Graduates have strong placement on Wall Street, with many joining investment banks like JPMorgan, Goldman Sachs, and Morgan Stanley, as well as hedge funds and private equity firms. Consulting giants (McKinsey, BCG, Bain) and tech companies also hire significant numbers. In 2023, approximately 95% of job seekers secured offers within three months of graduation, with the median base salary remaining at $175,000 (median signing bonus $30,000). Thanks to strong connections with New York's financial community, graduates tend to build high-income, stable careers.
UC Berkeley Haas MBA
Berkeley Haas MBA excels in technology and data analysis, offering robust fintech and data science courses leveraging its proximity to Silicon Valley. Students develop quantitative business analysis skills through courses like "Data and Decisions," while electives cover fintech and product management. Major employment destinations are technology and consulting, with approximately 28% of 2023 graduates entering consulting (primarily McKinsey, etc.) and 16% entering IT/telecommunications (Google, Apple, etc.). About 20% enter finance, including investment banks (Morgan Stanley, Bank of America) and fintech companies. The median base salary is approximately $160,000 (average $159,000), slightly lower than other top MBAs, but average total compensation exceeds $188,000 and has been steadily increasing in recent years.
2. Financial Engineering & Quant Master's Programs (Master in Financial Engineering and Others)
Carnegie Mellon University MS in Computational Finance
The Master of Science in Computational Finance (MSCF) is a top-tier quant master's program offered by Carnegie Mellon University. The curriculum integrates advanced mathematics, statistics, programming, and financial theory, covering stochastic differential equations and numerical computation, with recent additions of machine learning applications. Practical data analysis skills are emphasized, and through rigorous quantitative training, the program develops professionals who are "more financially knowledgeable than other STEM graduates, with stronger quantitative skills than MBAs." Almost all graduates secure employment within six months (100% placement rate), primarily at elite Wall Street firms. Specifically, graduates join investment banks like JPMorgan, Goldman Sachs, Morgan Stanley, Citigroup, and UBS, as well as hedge funds/prop trading firms such as ExodusPoint Capital and Squarepoint Capital. Approximately 40% of graduates take positions in quantitative research and trading, with 2023 graduates earning average base salaries of around $136,000 (median $135,000). Many graduates also receive sign-on bonuses (median $25,000), delivering an exceptionally high ROI for a financial engineering master's degree.
Columbia University MS in Financial Engineering
https://ieor.columbia.edu/financial-engineering-msfe
Columbia University's Financial Engineering master's (MFE) program is a renowned quant course offered by the university's engineering department (IEOR). The 36-point STEM-designated curriculum covers financial engineering fundamentals including probability theory, numerical optimization, and financial risk management, plus advanced data science courses such as **"Machine Learning for Financial Engineering". Courses like "Machine Learning for Financial Engineering" and "High-Dimensional Data Analysis" are offered, developing skills in applying AI and big data to finance. Graduates achieve impressive placement results, with approximately 70% entering investment banking divisions (sales & trading and quant roles), while the remainder primarily join hedge funds and asset management firms. Specific employers include global investment banks like Goldman Sachs, JPMorgan, Morgan Stanley, Citigroup, and Barclays, as well as top-tier hedge funds such as Bridgewater, Millennium Management, Point72, and Squarepoint Capital. Graduates who find employment in the US earn average first-year salaries of approximately $123,000 (with average bonuses exceeding $50,000), and many flourish as high-income quant analysts, particularly in New York.
Princeton University Operations Research and Financial Engineering
https://gradschool.princeton.edu/
Princeton University's Master in Finance is a financially engineering-focused program operated by the university's Bendheim Center for Finance (academically similar to the ORFE department's master's program). Its distinctive feature is an interdisciplinary curriculum integrating economics, probability statistics, computer science, and machine learning, with recent expansion into machine learning, fintech, data science, and entrepreneurship courses. Students choose from three specialized tracks ("Quantitative Asset Management," "Data Science & Fintech," and "Valuation & Macroeconomic Analysis"), with the Data Science & Fintech track emphasizing big data and AI applications in finance. Additionally, students can opt to earn a graduate certificate in machine learning, officially certifying their knowledge of statistical machine learning. Employment outcomes are exceptional, with graduates maintaining a 100% placement rate and those employed in the US earning average first-year compensation (base salary + bonus) of approximately $199,000, among the highest in the nation. Major destinations include renowned electronic trading firms like Jane Street and Two Sigma, hedge funds such as Citadel and D.E. Shaw, and elite investment banks including Goldman Sachs, Morgan Stanley, and Bank of America, with numerous graduates securing high-paying quant positions.
Master of Financial Engineering Program | UC Berkeley Haas
The Master of Financial Engineering (MFE) at University of California Berkeley's Haas Business School is an intensive financial engineering program completed in just one year. The curriculum incorporates data science and deep learning courses, with electives such as "Deep Learning and Applications" and "Financial Data Science" covering cutting-edge AI technologies. A three-month internship and applied finance project are required, providing practical experience while connecting theory with application. Employment outcomes are outstanding, with the class of 2023 achieving a 96% placement rate within three months of graduation. Primary employment destinations are front-office financial roles, with portfolio management and quantitative research positions accounting for approximately 56% of placements. Employers include major investment banks like Goldman Sachs and Morgan Stanley, hedge funds such as Millennium, Point72, and Balyasny, and high-frequency trading firms like Tower Research and Jump Trading. The median base salary is approximately $150,000 (average approximately $148,000), with additional average sign-on bonuses of around $30,000 reported.
Financial Analytics | Stevens Institute of Technology
Stevens Institute of Technology's Financial Technology & Analytics master's program offers a unique curriculum specializing in fintech. The program combines financial engineering, data science, and advanced analytical modeling, with courses in applied statistics, machine learning, data visualization, and financial infrastructure, allowing students to acquire skills aligned with the latest industry needs. Courses like "Statistical Learning," "Machine Learning," and "Financial Technology Applications" provide deep insights into handling vast financial datasets and fintech knowledge. Employment outcomes are strong, with many graduates leveraging the school's proximity to New York to secure positions at major Wall Street firms. Stevens graduates frequently join Manhattan's financial companies including JPMorgan Chase, Goldman Sachs, UBS, BlackRock, and Deutsche Bank, contributing to a robust alumni network within the financial sector. As of 2023, the Financial Analytics master's program boasts a 100% placement rate within six months of graduation, with average base salaries of approximately $95,600 and average sign-on bonuses of about $13,700. Many graduates succeed as professionals combining quantitative analysis skills and financial knowledge, working in bank risk management, data analysis departments, and as analysts at fintech companies.
3. Data Science & CS×Finance Master's Programs
Statistics & Data Science | Stanford University
Stanford University's Master's in Statistics (Data Science Track) is one of the most prestigious programs in the data science field. Beyond advanced mathematical and statistical theoretical foundations, the curriculum thoroughly develops programming and applied machine learning skills, covering a wide range of topics including **analysis of large-scale data, statistical inference, and machine learning. The curriculum offers great flexibility, allowing students to select advanced courses from other Stanford departments (such as Computer Science or Business School) to focus on areas of personal interest (like financial data analysis). Graduates primarily find employment as data scientists and analysts, with many thriving at Silicon Valley tech companies (like Google and Apple), while a significant number also enter the financial industry (in asset management or M&A analysis roles). According to reports, "many students work in data science, research analysis, software engineering, or program management, while in the financial sector they work in **asset management, corporate acquisitions, and business analysis." Starting salaries are exceptionally high, with new data scientists earning average annual compensation of approximately $110,000, benefiting from high demand and salary levels supported by the Stanford brand and skillset.
Data Science | Columbia University
The Master of Science in Data Science offered by Columbia University's Data Science Institute (DSI) develops data scientists with strong application skills across various fields. Beyond 21 credits of core courses, students can specialize in areas of interest (such as business or finance) through at least 9 credits of electives. The highlight of the curriculum is the Capstone Project, where students work with real data provided by companies or public institutions, experiencing the entire process from data collection and processing to designing and implementing problem-solving models. Past projects have included "Corporate credit risk analysis using anomaly detection and NLP (predicting Moody's rating changes)," combining finance and AI applications. Given its New York location, collaboration with the Business School is extensive, including courses co-developed with the MBA "Technology, Coding, and Analytics" curriculum. Employment outcomes are excellent, with DSI master's graduates reportedly achieving a 100% placement rate (at graduation), reflecting the high demand for data science talent. Major employers include tech giants, financial institutions, and consulting firms, with many graduates hired into banking data departments in New York as professionals with finance×AI skills. Salary levels typically exceed $100,000 for first-year compensation, with both demand and compensation steadily increasing year after year.
Data Science | New York University
The Master of Science in Data Science (MSDS) program offered by New York University's Center for Data Science provides advanced education integrating theory and practice. The 36-credit curriculum incorporates a Capstone Project, allowing students to tackle real-world problems during their studies. This project encompasses the entire process from data collection to model building and proposal presentations, developing skills directly applicable to professional settings. Additionally, interested students can pursue the "Industry Concentration" which includes internships with industry partners, enabling practical application of their skills while building professional networks. Graduates find data science positions across various sectors including finance, technology, and healthcare. Many work as data scientists at tech companies like Google and Amazon, or in data analysis departments of fintech companies and investment banks in New York. Average starting salaries are approximately $110,000 annually, commensurate with the advanced skillset of degree holders. NYU also offers a specialized Master's in FinTech through the Stern Business School, providing another career path for those interested in studying data science and financial technology comprehensively.
Mathematics in Finance | New York University
https://gsas.nyu.edu/admissions/arc/programs/mathematics-in-finance.html
NYU's Mathematics in Finance Master's (Courant Institute) is positioned at the intersection of computer science and financial engineering. The curriculum tightly integrates financial mathematics theory with computer implementation, providing both industry-standard theoretical and computational skills and cutting-edge technologies for the future. Beyond core courses in stochastic analysis, numerical computation, and risk management, rich electives include "Machine Learning and Optimization," "Financial Data Science," and "Practical Deep Learning," aiming to develop professionals who can apply AI and big data to finance. The program's practical orientation is evident with approximately 75% of full-time students completing internships, equipping graduates with advanced quant skills in both theory and practice. Graduates find employment at prominent financial institutions, hedge funds, and technology companies. Recent graduates have joined traditional financial institutions like Barclays, BlackRock, Citadel, JPMorgan, and Morgan Stanley, as well as tech companies like Google and Amazon as data analysis specialists. Average base salaries are approximately $115,000 (2022 graduates, US-based), with particularly high valuation in the New York market. About 93% of graduates secure employment within three months of graduation, demonstrating strong industry connections.
MS Finance | MIT
MIT Sloan's Master of Finance (MFin) program offers an AI and Machine Learning track option to meet current financial industry needs. Beyond standard finance core courses, students can take specialized advanced AI/ML courses such as "AI and Money," "AI and Machine Learning Research in Finance," and "Data Analysis and Machine Learning in Finance." Engineering department's "Machine Learning" course and hands-on "Practical Deep Learning" are also available as electives, providing a comprehensive curriculum covering both machine learning theory and its financial applications. This advanced curriculum equips students with skills for the finance×AI frontier, including algorithmic trading, risk modeling, and fintech development. Employment outcomes are outstanding, with the MFin class of 2024 achieving a 98% placement rate within six months of graduation. Employment destinations are primarily global financial firms, including investment banks like Goldman Sachs (9 hires), Bank of America, and Morgan Stanley, funds like Citadel and data robotics-focused firms, and major consultancies like BCG and McKinsey. Salary levels are high, with the 2024 class reporting average base salaries of approximately $122,000 (median $121,000), plus average sign-on bonuses of $27,000. As finance professionals with advanced AI skills, graduates remain in exceptionally high demand.
Master of Science in Analytics / Applied Data Science | University of Chicago
https://applieddatascience.psd.uchicago.edu/
The University of Chicago's data science master's programs (MSc in Analytics / MS in Applied Data Science) develop data scientists who can excel across various industries, including finance. The curriculum emphasizes not only hard skills in machine learning, statistics, and big data processing, but also "data storytelling" communication skills essential in business environments. Graduates possess advanced data analysis and machine learning capabilities plus presentation skills connecting analytical results to decision-making, which employers highly value. While career destinations are diverse, typical paths include data analysis departments at major banks like JPMorgan Chase in the financial sector, while in the technology industry, many work as data scientists at companies like Google and Amazon. Graduates achieve median annual salaries of approximately $115,000, representing very high starting salary levels in major markets like New York and Chicago. Finance-oriented students have opportunities to work on financial data analysis projects during their studies, making them highly sought-after as professionals versed in both finance and data science.
⑤ Steps from Graduate School Admission to Employment
Strategic graduate school admission is crucial for those targeting annual incomes exceeding $300,000 in global finance or hedge funds. Simply "studying abroad" is insufficient; what's essential is a "career strategy that works backward from your target employer" even before enrollment. Based on Alpha's support system that has produced numerous successful admissions and job offers, here are four steps to success:
1. Career Strategy Planning (Clarifying Target Companies and Roles)
The first step is thoroughly defining "what companies and roles you want to work in." Are you aiming for Goldman Sachs' investment banking division, a quant trader position at Citadel, or working as a data scientist in asset management at BlackRock? Your target will significantly influence which master's program to choose and which skills to develop.
At Alpha, we design together "which positions realistically allow you to target $300,000+ annual income" while organizing your current background, future goals, and strengths/weaknesses.
2. School Selection & Application Strategy Development (Major Selection + Story Design)
Once your goals are clear, select a master's program that aligns with them. For example, if you aspire to be a quant trader, Carnegie Mellon's MSCF or Princeton's MFin would be appropriate; if targeting PE funds via strategic consulting, Chicago Booth or MIT Sloan would be ideal. The match between your "career target" and the "strengths of the graduate program" is extremely important.
Furthermore, you need a logical narrative explaining "why you're choosing that school and specialization." This is a critical theme in essays and interviews, where professional support can make a significant difference.
3. Application Materials (Essays, Recommendation Letters, Resume) + Test Preparation (GRE/IELTS)
After selecting schools, begin preparing application materials. This requires incorporating a consistent narrative aligned with your career strategy into your essays and personal statements. Additionally, recommendation letters and English resume should all be designed to "increase the feasibility of your target career."
Simultaneously, work on achieving target IELTS and GRE scores. Alpha offers a "fastest route score strategy" combining AI tools and personalized instruction, designed to achieve breakthrough results within 3 months.
4. Post-Acceptance: Career Planning, Networking & Job Search Support
Acceptance is not the final goal—rather, this is where the real challenge begins. After gaining admission to a top school, job hunting starts before enrollment with LinkedIn optimization, networking strategies with current students and alumni, and timing for internship applications.
Especially in ultra-competitive fields like global finance and hedge funds, positioning yourself during your studies and timing corporate contacts significantly impact your compensation. At this stage, Alpha's advisors continue providing personalized support through to securing offers from your ideal companies.
⑥ Conclusion: Transform Your Life Through Expertise × Strategy
The world of ultra-high compensation in global finance and hedge funds isn't reserved for a special few. By acquiring the right expertise and strategically approaching graduate education and career development, annual incomes exceeding $300,000 are well within reach.
This requires "constructing a narrative" that connects your current background with your future goals. Financial engineering, data science, MBA—which specialization to choose, which program is optimal for you, and how to connect it to employment. Whether you can "design" all these elements becomes the turning point that transforms your life. Simply attending graduate school without careful planning won't make you the talent companies seek. Conversely, with accurate information and professional strategic support, entering top funds or investment banks is entirely possible even without prior experience.
For Those Serious About Transforming Their Career: Start with a Free Consultation
Alpha Advisors offers specialized individual guidance programs for all master's programs including MBA, Financial Engineering, Data Science, AI/Quant specializations, and more.
・Selection of target schools and specializations
・Editing of essays and resumes
・Recommendation letter advice
・Interview preparation
・IELTS/GRE preparation
・Post-acceptance career strategy, networking, and job search support
Professionals provide comprehensive support throughout the entire process. We have helped realize numerous "life-changing education and career transitions," such as humanities graduates entering hedge funds, sales professionals joining Goldman Sachs, and researchers becoming quants. If you're serious about targeting an annual income exceeding $300,000, contact us immediately through our free consultation form. We'll guide your career to a world-class level.
For MBA/International Graduate School Applications, Consult Alpha!
For the past 17 years, Alpha Advisors has supported applications to the world's top schools including Harvard, Stanford, MIT Sloan, Wharton, and Chicago Booth, guiding students to successful MBA/graduate school admissions. Additionally, we support post-graduate career transitions, having helped over 50,000 individuals pursue careers at global companies including Mitsubishi Corporation, Mitsui & Co., Goldman Sachs, Morgan Stanley, McKinsey, BCG, Google, Microsoft, Amazon, P&G, MUFG Bank, Mizuho Bank, Toyota, and more.
For prospective MBA/graduate school students, we offer "Alpha Individual Guidance" and "Alpha Intensive Training," providing comprehensive support for your studies abroad. Using Alpha's unique individual instruction and "winning know-how" cultivated over 17 years, we fully back your MBA journey. We provide consistent support for all aspects of MBA/graduate school applications, from self-analysis and essay writing to TOEFL/EA test preparation, scholarship applications, and interview preparation! For any concerns or questions about MBA/international graduate studies, feel free to chat with us anytime. If you're serious about gaining acceptance to top schools, let's work together to realize your dreams via the shortest route!
Start by discussing and developing your MBA application strategy with TJ, Alpha Advisors' representative (former Sumitomo Corporation → University of Chicago MBA → Goldman Sachs Investment Banking Division) through our "Career Strategy Advisory" (incredibly affordable at ¥48,000, with available discounts!).
We're committed to thoroughly supporting your MBA/graduate school acceptance and brilliant global career!
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