Senior Associate, Capital Markets (Data Analytics)

The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking an Associate/Sr. Associate to join our Advisory Services practice.

Responsibilities:

• Design simulation models for complex systems to identify potential issues with operational resilience
• Develop innovative techniques to quantify operational risk events including using machine learning and models to calculate residual risks based on incident and control data
• Engineer solutions using Natural Language Processing (NLP) and Machine Learning to decompose market surveillance reports for Capital Markets groups
• Build sentiment analyzers and classifiers for unstructured and semi-structured data to be used in Third Party Risk Management and Operational Risk
• Utilize machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods to review capital markets risks
• Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns to develop innovative solutions to Capital Markets operational risk and regulatory compliance programs

Additional Responsibilities for Senior Associate:

• Supervise and mentor associates, new hires, and interns on engagements
• Assist with project planning and project management as well as development of deliverables
• Support the practice by helping to build assessment tools

Qualifications:

• Minimum of three years of professional experience working as a Data Scientist; experience with scripting, data structures and algorithms and ability to work with large amounts of data
• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, or Physics from an accredited college/university
• Strong knowledge in at least one of the following fields: natural language processing, machine learning, data visualization, statistical modeling, and/or data mining
• Strong data extraction and processing abilities
• Proficiency in analysis packages, programming languages as well as the ability to implement, maintain, and troubleshoot big data infrastructure
• Ability to travel as required
• Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at " Benefits & How We Work ".

Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M161_4_24

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.