Dec 13, 2017 - tion, offer or agreement to subscribe, pur- chase or ..... Modern technologies form client expectations a
SBERBANK STRATEGY 2020
H. Gref
M. Poletaev
L. Khasis
A. Vedyakhin
Y. Chupina
A. Morozov
Vision and key priorities of Strategy 2020
Retail and corporate clients
Ecosystem and technology
Data analytics and riskmanagement
Team and culture development
Financial targets
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HERMAN GREF CEO
10 years of continuous transformation… 01
VISION AND KEY PRIORITIES OF STRATEGY 2020
02
RETAIL AND CORPORATE CLIENTS
03
ECOSYSTEM AND TECHNOLOGY
04
DATA ANALYTICS AND RISK-MANAGEMENT
05
PEOPLE DEVELOPMENT
06
FINANCIAL TARGETS
07
Technology for clients 2014 – 2017
Sberkassa before 2007 … – 2007
Client centricity 2008 – 2013
CONCLUSIONS
SBERBANK STRATEGY 2020
10 years of continuous transformation … 01
VISION AND KEY PRIORITIES OF STRATEGY 2020
02
RETAIL AND CORPORATE CLIENTS
03
ECOSYSTEM AND TECHNOLOGY
04
DATA ANALYTICS AND RISK-MANAGEMENT
05
PEOPLE DEVELOPMENT
06
FINANCIAL TARGETS
07
Client centricity
Technology for clients
… – 2007
2008 – 2013
2014 – 2017
37 60 65 NPS
1
Active retail clients
CSI
mln (+25 mln) CLIENTS
1
60 70 85 NPS
CSI
mln (+20 mln) CLIENTS1
Clients
ɘ,PSURYHGVHJPHQWDWLRQ ɘ&OLHQWIHHGEDFN
ɘ0DVVSHUVRQDOL]DWLRQ ɘm$FRPSODLQWLVDJLլ}
Products
ɘ1HZSURGXFWVFUHGLWFDUGVLQYHVWPHQWSURGXFWV 60(ORDQV500 external courses
21 functional roles Unique learning plan for each role Data science community Data engineers community
Succession planning is a foundation for stable and continuous future growth
84% Y. Chupina Team and culture
Internal
TOP-management appointments, 2017
96%
Internal
mid-management+ appointments, 2017
100%
Succession pool candidates have an individual development plan and assigned mentor
Sberbank has a strong internal succession pool that is further fueled by:
4 people interview for recruiting and promotion
Promotions via Green Room
Mentoring and coaching
Personal development plan
Modern succession support tool (cloud-based IT platform)
Sberbank culture and self motivation are the guarantee of future victories Team member
Leader
Culture
I’m a leader:
Values:
Communication:
Expectations:
Emotional intelligence:
We are a team:
HR decision making:
Y. Chupina Team and culture
All for the customer:
Mentor:
Space and rituals: Social mission:
Careful use of data and the latest machine learning methods will bring interaction with the employees to a new level How can I be successful?
How do I find a suitable candidate?
Sberbank deeply understands the employees’ motivation and behavior Employee
360°
Advanced machine learning methods Neural networks Gradient boosting Random forest
100 How can I help the employees demonstrate their best abilities?
Y. Chupina Team and culture Where can I realize my potential?
1000 + 20 th FTE
Scope of analysis 2017 -> 2020
255 th FTE
Traditional analytics Decision tree Logistic regression
20 Gini coefficient
Data-driven HR will transform the Employee Journey and raise the team quality
x2
star employees
Recruitment 2020
Candidates: prioritization Employees: success prediction Leaders: insights about future success
1
Onboarding 2020
2 Y. Chupina Team and culture
3
4
Churn 2020
Early best employee-fit identification Maximum performance
HR process integration example Recruitment
Onboarding
PD
Churn
Servernoy S.S. Probationary Period Oracle Administrator Technology block Mark: СС
Technology block career Cross-block rotation
Other career opportunities
Successfulness profile Applicant Block
Employee
Successful profile
Success probability
Successful profile
Success probability
90%
Development 2020
Technology
Yes
70%
Yes
Retail
No
60%
Yes
80%
Corporate
No
55%
No
60%
Strategy
No
20%
No
45%
Timely and accurate rotation Individual training program (CorpUni) Personalized learning in Sberbank virtual school
Early mis-fit identification Churn prediction and prevention
Further development of our own analytical platform based on modern technologies People Development Platform
Single HR platform
Cloud-based, constantly updated IT system with open APIs Career development
Y. Chupina Team and culture
Success prediction
Improving employees’ performance
Retention of D-people
Promotion of employees from branches
Churn in call center
1 Database Candidate 360 Employee 360
2 Analytics development
Recruitment
Personnel records
Org. management
HR system Operational HR-analytics
Prescriptive
Analytics
Adaptive testing
Internal services Digital services
Digital mass recruitment hub
External Internet services
Robotics, chat-bots, voice recognition in the Contact Center
Payroll and bonus assessment
Compensation, motivation Video-cv
Implementation shared service center and mobile self-services
HR systems in subsidiaries
Performance management system Intranet portal
Descriptive Predictive
Salary calculation Org mgmt HR records
Development Onboarding
Automation, robotization, process redesign
Recruiting sites
100% electronic document flow Sberbank only Subsidiaries All Group companies
(х2-3 efficiency gains)
ALEXANDER MOROZOV Deputy CEO
Financial model 2020 01
VISION
02
RETAIL AND CORPORATE CLIENTS
03
ECOSYSTEM AND TECHNOLOGY
04
DATA ANALYTICS AND RISK-MANAGEMENT
05
TEAM AND CULTURE
06
FINANCIALS
07
CONCLUSIONS
ROE
Net income
~20% Equity
х1.4
х1.5
NII
х1.1
Loan portfolio growth
F&C
х1.5
NIM
х0.8
х0.8
Clients funds growth
х1.2
CoR
Costs SBERBANK STRATEGY 2020
х1
х1.3
Accelerating growth of margin accretive products to optimize our balance sheet efficiency 01 02 03 04 05 06 07
Loan portfolio (gross), RUB trln
Client funds
NSFR Ratio %
VISION
114%
113% RETAIL AND CORPORATE CLIENTS
х1.3
x1.2 ECOSYSTEM AND TECHNOLOGY
Retail deposits Corporate deposits
х1.2
100% CBR limit
x1.5
х1.1
DATA ANALYTICS AND RISK-MANAGEMENT
19.8
TEAM AND CULTURE
FINANCIALS
CONCLUSIONS
Sberbank International Consumer loans (incl. credit cards) Mortgages SME Corporate business CIB
LCR Ratio %
26.1
x1.3
20.4
2020F
2017E
2017E
x1.2
24.6 2020F
133%
120%
100% CBR limit
80%
LDR (net) % 99%
x1.4
91% x3.0
x1.2
SBERBANK STRATEGY 2020
2017E
2020F
01
VISION
02
RETAIL AND CORPORATE CLIENTS
03
ECOSYSTEM AND TECHNOLOGY
04
DATA ANALYTICS AND RISK-MANAGEMENT
05
TEAM AND CULTURE
06 07
FINANCIALS
Optimizing balance sheet structure
Simulation based on millions of individual transactions Ongoing optimization using genetic algorithms and response surface modelling
Dynamic planning platform
In-memory computing Planning based on scenario analysis
Behavioral models
Machine learning predicting customer behavior
Holistic approach
Decisions based on comprehensive impact analysis of BS, PL and risks
Income
Dynamic AI Balance Sheet Management
Lim
ita
CONCLUSIONS
SBERBANK STRATEGY 2020
Forward-looking
Forecast, scenario analysis and early warning indicators as base for decision-making
tio
ns
o r G
h t w
290 3.5 14
behavioral models
mln
contracts forecasted
bln
transaction simulations
Dynamic AI – ALM management is mitigating margin compression Net interest margin optimization
01
VISION
02
RETAIL AND CORPORATE CLIENTS
03 04 05
TEAM AND CULTURE
06
FINANCIALS
07
Shift to margin accretive Ruble lending
CONCLUSIONS
SBERBANK STRATEGY 2020
41%
~6%
ECOSYSTEM AND TECHNOLOGY DATA ANALYTICS AND RISK-MANAGEMENT
Key factors
35%
5.7 %
59%
Slightly below 5%
40-50 bps Dynamic ALM management Inertial scenario 2016
2017E
2018
2019
2020F
65%
Transactional business to reduce cost of funding
Currency denomonated loans Ruble denominated Loans
Shift to margin accretive retail and SME lending
28%
31%
2%
4%
70%
65%
2017E
2020F
Increas share of Loans in Total Assets
64% 36%
61% 39%
Current and settlement accounts
Forecast accuracy improves asset structure Rub 200 bn
Retail Business SMEs Corporate loans
2020F
66%
Optimize balance sheet structure
Extra liquidity available for lending Liquidity buffer
2017E
71%
Loan to Assets Ratio
Term deposits
91%
2017E
Loan to Deposit Ratio
99%
2020F
Growing F&C income driven by core banking 01 02 03
Net F&C Income from Core Banking business, RUB bln
Growth of Cashless Transactions
VISION
1.5
X
RETAIL AND CORPORATE CLIENTS
~580
04 05
TEAM AND CULTURE
06
FINANCIALS
07
CONCLUSIONS
~390
Bank cards and acquiring
ECOSYSTEM AND TECHNOLOGY DATA ANALYTICS AND RISK-MANAGEMENT
2017E
~390
1.7
31%
1.5
2017E
X
Corporate payments and settlement transactions
X
Retail payments and settlement transactions
41%
2020F
Growth of SME clients
Other banking fees
Bank card operations Рayments and settlement transactions Other banking fees
2020F
~580
1.6 ml
1.4
X
2.2 ml
SBERBANK STRATEGY 2020
2017E
2020F
2017E
2020F
Income growth outside of core banking business 01
VISION
02
RETAIL AND CORPORATE CLIENTS
Non-banking financial business Operating income, RUB bln
03
ECOSYSTEM AND TECHNOLOGY
04
DATA ANALYTICS AND RISK-MANAGEMENT
05
TEAM AND CULTURE
06
FINANCIALS
07
Revenue from new business
CONCLUSIONS
Asset management and Pension fund management
Insurance
Brokerage
x2
x5 118
x4
x11
109
70
53
RUB bn 2020
25 2.0
7.8
SBERBANK STRATEGY 2020
2017Е
2020F
2017Е
2020F
2017Е
2020F
Revenue attributable to Sberbank
International business is adopting to the new reality 01
VISION
02
RETAIL AND CORPORATE CLIENTS
03
ECOSYSTEM AND TECHNOLOGY
04
DATA ANALYTICS AND RISK-MANAGEMENT
05
TEAM AND CULTURE
06
FINANCIALS
07
CONCLUSIONS
SBERBANK STRATEGY 2020
2020 FORECAST
SBERBANK KAZAKHSTAN
BPS-SBERBANK
DENIZBANK
SBERBANK EUROPE
ROE = 22% CIR = 30% LDR = 82% #4 on the market
ROE = 23% CIR = 31% LDR = 89% #3 on the market
ROE =15% CIR = 38% LDR = 102% #8 on the market
ROE =4% CIR ~ 68% LDR = 100% #7-15 on the market
Assets, Revenue and Capital allocation 01
VISION
02
RETAIL AND CORPORATE CLIENTS
03
ECOSYSTEM AND TECHNOLOGY
04
DATA ANALYTICS AND RISK-MANAGEMENT
05
TEAM AND CULTURE
06
FINANCIALS
07
CONCLUSIONS
SBERBANK STRATEGY 2020
Assets,% of the Group
Revenue, % of the Group
Capital, % of the Group
Target 2020 ROE
82.8
78.7
0.3
2020 FORECAST
1.0
0.9 13.4
7.7
83.5
7.4
9.0
7.0
8.6
CIR
Russia banking
20.0%
28.4%
Russia non-banking finanсial
21.6%
30.8%
Russia new businesses
15.3%
51.3%
International business
12.4%
41.3%
Gradual increase in risk appetite on better environment Cost of Risk, %
Shift to margin accretive retail and SME lending
01 02
VISION
RETAIL AND CORPORATE CLIENTS
03
ECOSYSTEM AND TECHNOLOGY
04
DATA ANALYTICS AND RISK-MANAGEMENT
05 06 07
Portfolio growth CAGR, 2017-2020
TEAM AND CULTURE
28% 2% 70%
2017E
40%
150-170 bps
SMEs
31% 4% 65%
2020F
35%
Retail Business SMEs Corporate loans
Size of the portfolio, 2020
~130 bps Corporate Total Retail
Mortgages
30%
CIB
25%
Large businesses
20%
2017E
2018
2019
2020F
Credit cards
15%
FINANCIALS 10%
CONCLUSIONS
SBERBANK STRATEGY 2020
IFRS 9
Estimated negative effect is below 40 bps on CET 1 CAR
COR estimates include IFRS 9 rolling effect
Consumer loans 5%
COR, 2020
0% 0%
2%
4%
6%
Frozen OPEX – positive operating leverage 01
OPEX, RUB bln VISION
02
RETAIL AND CORPORATE CLIENTS
03
ECOSYSTEM AND TECHNOLOGY
04
DATA ANALYTICS AND RISK-MANAGEMENT
05 06 07
CIR, % ~35%
1
X ~680
59%