Refinitiv & Battlefin 2-Part Webinar Series

Join Refinitiv, Battlefin and our expert speakers to discuss Covid-19's impact on earning's season through the use of data.

Refinitiv and Battlefin are hosting a two-part webinar series on the impact of Covid-19 on Earnings Season and Investment Strategies. 
Looking ahead to Q2 earnings as well as the impact this unprecedented situation will have, this first webinar will focus on the points below.

  • Alt Data vs. News – How swiftly does the impact of Alt Data take to appear in the Media? 
  • Deriving signals and trends by co-mingling Alternative & Fundamental Data. What might the Analysts have missed?
  • Upcoming earnings – who are the clear winners and losers of the pandemic?
  • LinkUp Jobs Postings Data: What is the effect of job postings' data on analyst revisions?
Register now and connect with us and our expert speakers on the 26th May, Tuesday, at 2pm BST/ 3pm CET. More details below. 

Webinar Information 

  • Date

    26th May 2020
  • Time

    14:00 BST/ 15:00 CET
  • Format

  • Topic

    Navigating COVID-19’s impact on Earnings through Alt Data
  • Speakers

    • Adam Baron - Director of Big Data Quantitative Research for Refinitiv 
    • Austin Burkett - Head of Quants & Feeds for Refinitiv
    • Jharonne Martiss, Director of Consumer Research for Refinitiv
    • Ishpreet Pandher - Chief Strategy Officer for BattleFin Group


Adam Baron, Director of Big Data Quantitative Research for Refinitiv

Adam Baron is the Director of Big Data Quantitative Research for Refinitiv in the StarMine Research team. His broad role covers the entire quant process: from identifying potential alternative data partners, through the necessary rigors of big data engineering and to the final stage of quantitative model research. He has explored many interesting content sets in search of alpha such as footfall derived from mobile phone GPS, credit/debit card transactions, satellite images, retail product pricing, job postings and trucking fleet vehicle telematics. These diverse data sets require a diverse set of technologies, foremost among them are: AWS (SageMaker, Glue, Athena), GCP (BigQuery, ML Engine), Azure, Hadoop/Spark, Python, R, and SQL. Prior to joining Thomson Reuters (now Refinitiv), Adam worked on Wall Street in FinTech at Morgan Stanley. During that time he pursued an MBA from NYU Stern in the evenings. This sparked a new career passion for quantitative finance that complemented his computer science background. Marriage eventually led him to the San Francisco Bay Area, which turned out to be the perfect location to learn about the latest and greatest artificial intelligence and machine learning advancements. Outside of work (and during normal times), Adam spends his mornings swimming and his evenings enjoying the performing arts.

Austin Burkett, Head of Quants & Feeds for Refinitiv

Austin Burkett is Head of Quant & Feeds at Refinitiv, managing the customer proposition for Refinitiv’s quantitative investing asset management clients. Quant & Feeds is one of several propositions in the Investment & Advisory business of Refinitiv. He has served in this role since joining the firm in 2015. 

Prior to Refinitiv, Austin was Global Director of Research Analytics at EVA Dimensions.  Prior to EVA Dimensions, he served as Global VCAM Product Manager in the Institutional Research Department at UBS AG, and was a member of the U.S. Investment Review Committee and the UBS Global Data Integrity Group. Austin graduated Bowdoin College with an A.B. in Physics.

Jharonne MartissDirector of Consumer Research for Refinitiv

Jharonne Martis is the Director of Consumer Research at Refinitiv. She is the retail and consumer industry expert, generates thought leadership research, and builds brand awareness by promoting Refinitiv content to a large set of media, sell‐side and buy‐side following. Her research reports are widely distributed to central banks, economists & strategists, institutional clients, and on the awardwinning Lipper Alpha Insight research blog. She also analyzes the Refinitiv/Ipsos Consumer Sentiment Index and Environmental, Social and Governance content and promotes them on various platforms. All of these reports generate a great deal of media attribution in the largest and most influential financial news publications.

As a subject matter and domain expert, Martis also brings her knowledge and expertise to the New York Innovation Lab where she collaborates and supports the quant and data scientists and engineers in validating consumer and retail data. She brings the client’s perspective and fundamental grounding to our quantitative research. A widely quoted authority on the consumer and retail industry, including same store sales and corporate earnings, Martis is a frequent guest speaker on CNBC, Yahoo Finance, Reuters TV, Cheddar TV, as well as other television news outlets. Her research has been featured in The Wall Street Journal, The New York Times, CNN Money, and Barron’s. Through her media engagements, she is directly responsible for keeping the Refinitiv name mentioned in the press and on the air instead of that of its competitors.

Prior to Refinitiv, Martis worked as a software developer at NetLander, Inc., where she contributed to key projects at the NASA J.F. Kennedy Space Center, and was a Control Desk Analyst Manager at Citigroup. She holds a B.S. in Management Information Systems and an MBA in Finance. For being a women in STEM and representing Aruba with pride, she is the second women to receive the pin of outstanding innovator of her native Aruba.

Ishpreet PandherChief Strategy Officer at BattleFin Group

Ish Pandher is responsible for crafting market, partnerships and product strategy at BattleFin.  He was formerly Managing Director at WorldQuant LLC where he built a very successful alpha crowd sourcing business in addition to launching other initiatives in quant research and data space. Prior to WorldQuant LLC, he was responsible for equity trading technology initiatives at Nomura Securities. He designed and built solutions for discretionary and quant prop traders, systematics trading teams and equity derivatives, portfolio & cash desks. This covered order management, algos, low latency market data & access, PNL & Risk, trading surveillance and designing processes to capture one-off deals. He spent early years of his career at AT&T Labs and Bell Labs working on optical networking and its applications. Ish has an MBA from UPenn and Bachelors in Computer Science & Engineering. He has advised and helped launch multiple startups in model building and data space.

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