We have been on a journey to create a credible alternative to branches, centered on mobile
We have digitized many things that can be done in a branch
Deposit checks
Order cashiers check
Etc
Beyond everyday banking, mobile is also central to our decisioning, messaging, identity and authentication strategy, ie. fraud SMS communication, mobile ID validation
Mission
Build an obsessively efficient, zero cost to serve business
Grow engaged customers and deposits, nationally
Differentiate from the competition
Agenda - account opening and eligibility, digital adoption, identity and protect, inform and alert
Accelerate scale to digital first national bank by building compelling customer experiences that enable zero marginal cost of banking
Fraud, key high risk transactions, authentication method, code complexity
Inspiration outside of the financial services
Enabling purchase push notification will accelerate bank’s ability to immediately inform our customers at key moments to drive PBR
And we continue to push towards greater fraud controls through 2-way SMS capabilities
Differentiation, Predictive communication
Lyft payment - receiving end, fraud has no liability (eg. customers use fraudulent card), more important on customer confidentiality (internal fraud), cyber security (cell phone, account, identify fraud), SHUA DAN (Lyft drivers need volumes to get a higher incentive rates; need to look into driver, passenger, location, matching logics to identify these clusters of transactions), customers’ disputes (not riding but getting charged), 1) revenue 2) loss (transaction fraud, identify fraud) 3) disputes … Financials, valuation, predictability (secondary order impact, customer based valuation … budget, planning, limit loss for xx) … Didi recruiting for data science modeling, look for job description; volume is not as high as uber … not as innovative, more as a follower … Customer and Trust position just released
Head of Deposit Analytics - data insights, correlations (deposit more or less balances, economics, pricing, rates, checking products / savings for cannibalization, customer growth, retention, testing, experimental testing, customer personalization tree … optimized); personalize experiences, interaction, UI, placement, verbage, value proposition
LA = DC almost; SF = 2.5 owning of DC index (1.6 or 1.8 renting DC rate); lacking exposure, job opportunity
Deposit
Monitor transactions by deposit channel, ATM, RDC, Teller
Sign on
Enrollment
Check image
Statement
RDC
Transfers
Billpay
P2P
Debit card conversion
Cum money flow
Landing page
Product feature: branch access, platform, OD policy, cycle fee, ATM, upmarket add-on, Other fees (stop payment, cashiers check, wire, checkbook, expedited debit card)
Deposit analytics
Mission of the deposit business, funding, relationship values, profitability
Funding - account level balance stickiness, seasonality, pricing sensitivity, different rate environment savings along, savings and checking, and lending
Relationship values - lower losses, debit transactions, fee based services, robo advising investing opportunities
Profitability - relationship based pricing between lending and deposit, customer perceived values
Product - deposit product build, rotations, rate environment (putting everything together for the customer financial product life cycle)
Monthly reviewing balance sheet deposit demand framework, fed rate outlook, competitor (used to do WAMP) but these days big 8 modeling
Market value of deposit, deep understanding of the deposit FTP fundamentals, ECR beta (small business), core, valuation of deposit
Rate paid, Direct vs the big 8 direct players on savings; monitoring deposit flows, patterns, competitor movements … model scenarios of balance and profitability. This is the cost of gathering deposit
Passionate about checking, eligibility (qualifile … FICO, fraud claims, income, have DDA etc) and approval, transactions, customer protection, debit etc
Customer value, by market, by age group, by channel
Multi-product relationship
Purpose of managing deposits
Balance sheet strength between consumer, commercial, debt and capital market; maturity and concentration
Daily cash inflow and outflow monitoring
Competitor bank rate, product launches
Forecasting accuracy
New money, cannibalization, product rotation (if you have multiple products, eg. between CD and savings)
Profitability
Pricing decisions for portfolio management - vs Big 8 or WAMP; strategic positioning vs short term earnings power
Market decisions, mostly applicable to retail banking with geo pricing capabilities; in combination of distribution cost and etc … this may lead to M&A opportunities
Segmentation analysis, ACES, product experiences, customer management and marketing
Cost consumption analysis, customer protection cost and call center
Relationship, checking agenda (a lot more work, savings), long term values, multi-product analysis
Testing agenda
Marketing promo
Customer beta vs driver rates
Moment that matters for NPS
Product and pricing capability build
Data lake, account level profitability; visual reporting